Cluster Analysis - Science method

La sclérose latérale amyotrophique (SLA) est une maladie grave, avec une survie moyenne de 3 à 5 ans après l'apparition des premiers symp-tômes. Les traitements actuels n'allongent la vie que de quelques mois. Les échecs thérapeutiques répétés et la variabilité des réponses soulignent la nécessité d'identifier des sous-types de patients pour adapte...

Active learning single-loop Kriging methods have gained significant attention for time-dependent reliability analysis. However, it still remains a challenge to estimate the time-dependent failure probability efficiently and accurately in practical engineering problems. This study proposes a new method, called 'Error-informed Parallel Adaptive Krigi...

El objetivo del artículo es analizar los factores que influyen en la formación de un clúster agroalimentario funcional y competitivo de productores de aguacate en la región sur de Jalisco, México. La producción de aguacate ha mostrado su dinamismo derivado de la demanda del producto y las condiciones geográficas y climáticas en la región, sin emba...

This study aims to identify the effects of lot size and shape differences on land prices per square meter. The study area focuses on parcels located in Sleman Regency, where infrastructure development and expanding economic activities significantly drive-up land prices. The methods employed include descriptive statistics, a two-sample t-test, corre...

This study investigates students' understanding of good research as related to their own research experiences and future research interests. The participants were 12th-grade students (17-to-18-year-olds) who participated in the Innovative Solutions project supported by three teachers and a cluster of professional partners from community-based organ...

The increased amount of data generated by edge computing has necessitated the development of efficient methods to leverage this vast information. Federated Learning (FL) offers a promising solution by enabling distributed model training while preserving privacy. However, FL faces challenges with Non-Independent and Identically Distributed (Non-IID)...

This communication focuses on the sociophonetic variation on /tr/ cluster in Spanish spoken in Santiago, Chile.

Proton exchange membrane water electrolysis stands as a promising technology for sustainable hydrogen production, although its viability hinges on minimizing platinum (Pt) usage without sacrificing catalytic efficiency. Central to this challenge is enhancing the intrinsic activity of Pt while ensuring the stability of the catalyst. We herein presen...

The main goal of the present study was to verify in detail whether the use of a cluster model for Stone–Wales (SW) defect-containing graphene (SWG) to study the adsorption of Ln atoms yields results similar to those previously obtained by employing a periodic model. We addressed this question by analyzing the optimized geometries of SWG + Ln comple...

Introduction: Understanding individual cognitive profiles is crucial for developing personalized educational interventions, as cognitive differences can significantly impact how students learn. While traditional methods like factor mixture modeling (FMM) have proven robust for identifying latent cognitive structures, recent advancements in deep lea...

The path planning of deep‐sea mining vehicle clusters and the spatial layout of pipeline systems are critical for mining efficiency and safety. Many existing path planning strategies overlook hose entanglement issues, limiting their applicability in complex environments. This paper presents a novel full‐coverage path‐planning method based on an imp...

Multi-view Clustering (MVC) has gained significant attention in recent years due to its ability to explore consensus information from multiple perspectives. However, traditional MVC methods face two major challenges: (1) how to alleviate the representation degeneration caused by the process of achieving multi-view consensus information, and (2) how...

This study explores the unique characteristics of quasicrystalline (QC) phase formation in melt-spun Al–Fe–V alloys, examining how it varies based on the content and ratio of transition metals (TM). Studies have shown that alloys featuring a Fe to V ratio of 2:1 or 1:2, along with an aluminum content ranging from 82 to 94 at. %, tend to favor the f...

Let Aq(Xn) denote the quantum coordinate ring of the space of n×n anti-symmetric matrices. We show that Aq(Xn) admits the structure of a symmetric CGL-extension. Building on this, we extend the construction of quantum cluster algebras via symmetric CGL-extensions under additional conditions, thereby deriving an explicit quantum cluster structure on...

In this paper, we study the 2D Shape Equipartition Problem (2D-SEP) with minimal boundaries, and we propose an efficient method that solves the problem with a low computational cost. The goal of 2D-SEP is to obtain a segmentation into N equal-area segments (regions), where the number of segments (N) is given by the user under the constraint that th...

In this paper, we introduce Bicluster Editing with Vertex Splitting, a variant of the Bicluster Editing problem, which aims to transform a given graph into a bicluster graph using a minimum number of operations. In Bicluster Editing, the allowed operations are the insertion and deletion of edges. In Bicluster Editing with Vertex Splitting we additi...

The misuse of privileges by users can lead to significant reputational and financial losses for enterprises. To reduce the risk of information leakage, it is crucial to detect and analyze abnormal behaviours of internal employees. Firstly, based on the characteristics of internal employee behaviour, a data filter strategy based on user behaviour is...

The metal flakes’ (MFs) bulk planar distribution (BPD) quality is a key dimension in predicting the appearance of Metal flake-pigmented coatings (MF-PCs). This distribution influences their meso-appearance (mottling) and micro-appearance (visual texture). To address this, the study utilized a dome-based reflectance transformation imaging (DB-RTI) s...

We present a novel framework for concomitant dimension reduction and clustering. This framework is based on a novel class of Bayesian clustering factor models. These models assume a factor model structure where the vectors of common factors follow a mixture of Gaussian distributions. We develop a Gibbs sampler to explore the posterior distribution...

Identifying Alzheimer's disease (AD) subtypes is essential for AD diagnosis and treatment. We integrated multiomics data from brain tissues of the ROSMAP and MSBB studies using a subspace merging algorithm and identified two AD patient clusters with notable cognitive and AD pathology differences. Analysis of differentially expressed genes (DEGs) in...

This framework advocates for theory‐driven research on moral outrage‐inducing sticky crises, aiming to clarify three key areas: (1) how the three preventable crisis clusters (i.e., human‐error, management misconduct and scansis) and information‐giving strategies (i.e., instructing and adjusting information) shape stakeholders' perceptions of moral...

A clustering algorithm, named k -orders, is proposed to extract transitive relations from a data set. The k -orders algorithm differs from the original k -modes only in the adjustment step. Two adjustment procedures, named transitive centroid adjustment (TCA) and greedy TCA, are proposed that can be used to find clusters with transitive centroids....

Here, we consider the problem of testing hypotheses regarding whether the distribution of an observed random variable belongs to the family of Gaussian mixture distributions. We apply the general theory of the Cramér–von Mises test to the complex hypothesis that the observed random variable belongs to a five-parameter family of two-component Gaussi...

The gold standard for estimating causal effects is randomized controlled trial (RCT) or A/B testing where a random group of individuals from a population of interest are given treatment and the outcome is compared to a random group of individuals from the same population. However, A/B testing is challenging in the presence of interference, commonly...

Esse artigo tem por objetivo discutir a questão da segregação socioespacial em cidades médias brasileiras, tendo por objeto empírico as quatro principais cidades médias gaúchas: Caxias do Sul, Passo Fundo, Pelotas e Santa Maria. Parte-se do pressuposto teórico que as desigualdades sociais se articulam a processos de natureza espacial, sendo a segre...

In this paper, we propose a novel convex nonnegative matrix factorization (CNMF) method to learn a bipartite graph with exactly k connected compo-nents, where k is the number of clusters. The new bipartite graph learned in our model approximates the original graph but maintains an explicit cluster struc-ture, from which we can immediately get the c...

Clustering aims to form groups of similar data points in an unsupervised regime. Yet, clustering complex datasets containing critically intertwined shapes poses significant challenges. The prevailing clustering algorithms widely depend on evaluating similarity measures based on Euclidean metrics. Exploring topological characteristics to perform clu...

Education is one of the sectors that established for the reason of fruitful production of the student and society in the world. While doing their education student faces different factor that affects the academic performance. The performance of the student is one of the crucial aspects of every educational institute. Knowing performance of the stud...

Clustering is a fundamental task in data mining and machine learning, particularly for analyzing large-scale data. In this paper, we introduce Clust-Splitter, an efficient algorithm based on nonsmooth optimization, designed to solve the minimum sum-of-squares clustering problem in very large datasets. The clustering task is approached through a seq...

We investigate the influence of external periodic driving on synchronization behaviors in networked nonidentical chaotic oscillators. The study reveals that by changing the amplitude and frequency of the external driving, the synchronizability of a network can be significantly improved. This finding is demonstrated through different models in netwo...

This paper systematically discusses how the inherent properties of chaotic attractors influence the results of discovering causality from time series using convergent cross mapping, particularly how convergent cross mapping misleads bidirectional causality as unidirectional when the chaotic attractor exhibits symmetry. We propose a novel method bas...

The uniform even subgraph is intimately related to the Ising model, the random-cluster model, the random current model, and the loop \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begi...

In this work we present a coupled-cluster theory for the propagation of multireference electronic systems initiating at general quantum mechanical states. Our formalism is based on the infinitesimal analysis of modified cluster operators, from which we extract a set of additional operators and their equations of motion. These cluster operators then...

Multiple types or views of data (e.g. genetics, proteomics) measured on the same set of individuals are now popularly generated in many biomedical studies. A particular interest might be the detection of sample subgroups (e.g. subtypes of disease) characterized by specific groups of variables. Biclustering methods are well-suited for this problem s...

Temporal interaction graphs (TIGs), defined by sequences of timestamped interaction events, have become ubiquitous in real-world applications due to their capability to model complex dynamic system behaviors. As a result, temporal interaction graph representation learning (TIGRL) has garnered significant attention in recent years. TIGRL aims to emb...

Spatial transcriptomics (ST) combines single-cell RNA-seq gene expression data with spatial coordinates to provide an accurate, 2D picture of gene expression across a tissue sample. With this technology, we can discover detailed RNA localization, study development, investigate the tumor microenvironment, and create a tissue atlas. Full ST analysis...

This paper investigates the provocative notion that Dark Matter (DM), rather than merely acting as a gravitational anomaly, may serve as an action principle underpinning the dynamical formation and evolution of Einsteinian clusters-self-gravitating systems governed by general relativistic frameworks. We propose that DM may function not merely as an...

The adaptive identification of the current evolution state of landslides through the analysis of landslide displacement time series data using advanced machine learning algorithms is of significant research importance. This paper proposes an advanced landslide displacement evolution state classification model based on clustering, transfer learning,...

The superfluid response of nanoscale size quasi-2D ⁴He droplets adsorbed on a graphite substrate is investigated by computer simulations. It is found that clusters comprising as few as 7 atoms are stable at temperatures of ≲0.15 K. Clusters of ∼20 atoms or less are liquid-like and ∼100% superfluid. As the size is increased, the central region cryst...

We consider a quiver $Q$ of ADE type and use cluster combinatorics to define two complex manifolds $\mathcal S$ and $\mathcal L$. The space $\mathcal S$ can be identified with a quotient of the space of stability conditions on the CY$_3$ category associated to $Q$. The space $\mathcal L$ has a canonical map to the complex cluster Poisson space $\ma...

This paper presents an innovative online portfolio selection model, situated within a meta-learning framework, that leverages a mixture policies strategy. The core idea is to simulate a fund that employs multiple fund managers, each skilled in handling different market environments, and dynamically allocate our funding to these fund managers for in...

Understanding both global and layer-specific group structures is useful for uncovering complex patterns in networks with multiple interaction types. In this work, we introduce a new model, the hierarchical multiplex stochastic blockmodel (HMPSBM), that simultaneously detects communities within individual layers of a multiplex network while inferrin...

Vision-language models (VLMs) allow to embed texts and images in a shared representation space. However, it has been shown that these models are subject to a modality gap phenomenon meaning there exists a clear separation between the embeddings from one modality and another in the embedding space. While this misalignment is detrimental for downstre...

The current theoretical study intends to analyze the determinant of a certain class of graphs with self-loops. This study focuses on a vast unexplored area of adjacency matrices with nonzero diagonal entities. Further, this study analyzes the implications and properties of the determinants of the adjacency matrices corresponding to a certain class...

Recently, there has been increasing attention on the fabrication of ligand-protected metal clusters composed of a finite number of noble metal atoms and on their precise assembly to elicit novel...

Risk-based portfolio allocation strategies using the so-called hierarchical risk clustering have recently gained attention from both academics and practitioners, mainly because of their ability to construct well-diversified portfolios through machine learning algorithms without needing to invert the covariance matrix. However, despite its innovativ...

One of the hot topics in constructionist approaches to the study of language is which traits are to be considered essential to posit a construction, as can be attested in the wide range of definitions that have been put forward when stating how a construction looks like (compare in Goldberg 1995, 2006 and 2019). In this respect, construction gramma...

European Small Claims Procedure Regulation contains a sparse cluster of provisions, whereby the court is conferred specific tasks implying various degrees of power to act of its own motion. Starting from the assumption that a comparatively high level of ex officio powers helps small claim procedures being more effective, this contribute highlights...

Penelitian ini bertujuan untuk menganalisis tren penelitian terkait risiko keuangan selama periode 2021 hingga 2025 dengan menggunakan pendekatan bibliometrik dan perangkat lunak VOSviewer. Data penelitian diperoleh dari 500 artikel yang relevan yang diambil dari Google Scholar menggunakan aplikasi Publish or Perish. Hasil analisis menunjukkan adan...

This paper presents expressions describes a set of bosons, including the simple tachyon boson, proceeding to Goldstone bosons containing firstly zero mass, then bosons with real mass for the Higgs boson and the electro-weak isospin, and the photon, all in terms of clusters of touching P-spheres (hyperspheres). Numerical values for integer quantum n...

Model selection is crucial for image object detection, enabling the selection of the best model for varying tasks. This paper introduces a novel dynamic model selection approach that adapts to underlying scenarios. The problem is formulated as a joint clustering and model assignment task, where clustering reveals the data's inherent structure, and...

As the backbone of the global economy, Micro, Small, and Medium Enterprises (MSMEs) have a very important role. One of the success factors for SMEs is the effective management of Human Resources (HR). HR management is not only about recruiting and retaining employees, but it also involves strategies that blend human potential with business goals. A...

The magnetization process of the $S=1/2$ anisotropic spin ladder with the ferromagnetic rung interaction is investigated using the numerical diagonalization of finite-size clusters. It is found that the translational symmetry broken magnetization plateau would appear at half the saturation magnetization, when the competing anisotropies are sufficie...

As part of the Vitamin-V European project, we have built a prototype of a RISC-V cluster managed by OpenStack, with the goal of realizing a functional RISC-V cloud ecosystem. In this poster we explain the hardware and software challenges encountered while porting some elements of OpenStack. We also discuss the current performance gaps that challeng...

We investigate the effect of the environment on the infrared and radio emission of cluster galaxies during the transition epoch at 1 < z < 2 when they first start to quench consistently in the majority of galaxy clusters. We considered a sample of 129 cluster member galaxies from 11 massive clusters at a confirmed redshift of 1.0-1.8 from the IRAC...

The magnetization process of the $S=1/2$ distorted diamond spin chain with ferromagnetic interactions is investigated using the numerical diagonalization of finite-size clusters. The level spectroscopy analysis applied for the model with the spin anisotropy indicates that two different magnetization plateau phases appear at 1/3 of the saturation ma...

Context: Globular clusters (GCs) host multiple populations characterised by abundance variations in a number of light elements. In many cases, these populations also show spatial and/or kinematic differences, which vary in strength from cluster to cluster and tend to decrease with the clusters' dynamical ages. Aims: In this work, we aim to study th...

This paper examines the mathematical properties of crossing points between logarithmic spirals derived from the generalized Euler identity for different constants. We derive the comprehensive expression for crossing points, analyze their distribution patterns, and reveal the underlying network structure connecting fundamental mathematical constants...

Considering the shortcomings of possibilistic C-means clustering in terms of anti-noise robustness and clustering consistency, this paper proposes a new robust kernelized spatial possibilistic log-local information C-means clustering with dual weighting exponents for image segmentation. First, this paper constructs a new log-local information facto...

Semiconductor manufacturing generates vast amounts of image data, crucial for defect identification and yield optimization, yet often exceeds manual inspection capabilities. Traditional clustering techniques struggle with high-dimensional, unlabeled data, limiting their effectiveness in capturing nuanced patterns. This paper introduces an advanced...

This paper explores the integration of machine learning (ML) techniques into operations management to streamline processes, enhance decision-making, and improve overall efficiency. By leveraging predictive analytics, clustering, and optimization algorithms, the proposed framework automates key operational functions such as demand forecasting, resou...

The objectives of this research are 1) to compare learning results before and after studying the quadratic functions of grade 9 students learning by CIPPA combined with The Geometer’s Sketchpad. 2) to compare the learning results of quadratic functions of grade 9 students studying by CIPPA combined with The Geometer’s Sketchpad with the 70% cri...

Supernova observations imply the presence of a dense and asymmetric circumstellar environment around SN Type II progenitors, whereas the mass loss from these progenitors, namely, red supergiants, is still poorly constrained. We aim to characterise the dust and gas in the circumstellar environment of the extreme Galactic red supergiant \nmlcyg in te...

As aberrant emotion regulation is evident in anxiety disorders, elucidating the relationships between emotion dysregulation processes and anxiety symptoms is of great clinical and theoretical relevance. The goal of the current study is to investigate sex differences in the relationships between emotion dysregulation processes and between emotion dy...

A análise de dados educacionais é importante para compreender o desempenho das instituições de ensino e identificar áreas para melhorias. Nesse contexto, a clusterização de dados é um recurso amplamente utilizado, em particular com algoritmos modelados como problemas de programação matemática. Neste trabalho, é proposta a utilização e a implementaç...

The environment is a critical issue in sustainable development in Indonesia, with significant variations in environmental quality between regions. This study aims to group provinces in Indonesia based on environmental quality index data with several non-hierarchical cluster techniques (K-means, K-median, K-medoid, and Fuzzy c-means). Data in resear...

A trajectory is a spatio-temporal data instance in which a customer or user moves between a set of discrete states while spending a certain amount of time in each state. Using trajectory data as a proxy for customers’ behavior and performing clustering can help to devise targeted marketing strategies. However, the censoring is often encountered due...

Clustering is a fundamental technique in unsupervised machine learning, where selecting the optimal number of clusters (ONC) remains a critical challenge, particularly for datasets with diverse characteristics. The Gap Statistic is a widely adopted method for determining ONC in K-means clustering, yet its performance is influenced by dataset size,...

As the real-world use of Artificial intelligence (AI) becomes increasingly pervasive, the interest of organizations in the nascent technology is currently at its peak. Although the scientific literature points out that a strategy is key to responding to technological breakthroughs, the three facets of autonomy, learning, and inscrutability that dis...

Accepted for publication April 4, 2025: We consider estimation of two-level latent class models for clustered data, when the measurement model for the observed measurement items includes non-equivalence of measurement with respect to some observed covariates. The parameters of interest are coefficients in structural models for the latent classes g...

K-Means Clustering is an unsupervised learning algorithm used for grouping data points into clusters based on feature similarities. Unlike supervised learning models that rely on labeled data, K-Means identifies inherent patterns by discovering cluster structures without predefined labels.

The magnetization process of the $S=3/2$ quantum spin chain with the $XXZ$ anisotropy and the single-ion anisotropy $D$ is investigated using the numerical diagonalization of finite-size clusters and the level spectroscopy analysis. We obtain the phase diagrams at 1/3 and 2/3 of the saturation magnetization to find that the translational-symmetry-b...

Clustering multimorbidity has been a global research priority in recent years. Existing studies usually identify these clusters using one of several popular clustering methods and then explore various characteristics of these clusters, e.g., their genetic underpinning or their sociodemographic drivers, as downstream analysis. These studies make sev...

Within the framework of the dinuclear system (DNS) model by implementing the cluster transfer into the dissipation process, we systematically investigated the energy spectra and the angular distribution of the preequilibrium clusters (n, p, d, t, $^{3}$He, $\alpha$, $^{6,7}$Li, $^{8,9}$Be) in the massive transfer reactions of $^{12}$C+$^{209}$Bi, $...

acceptance for the manuscript (telecom-3529844) titled: Clustering for Lifetime Enhancement in Wireless Sensor Networks

Polyhedra method applied to study thiolated gold clusters and naked metal clusters.

This research conducts an extensive bibliometric analysis of the literature on the formation control of multiple robots. The main objective is to offer a comprehensive analysis of the present condition and future potential of this area. To accomplish this, this research employs a bibliometric methodology to examine current research trends and forec...

Description: The review corresponds to the IPBES transformative change assessment. The IPBES Scoping document for the transformative change assessment describes that chapter 2 should consider the implications of different visions for sectors, subsystems (including market/economic, financial, political, legal/judicial, educational, indigenous and lo...

Since 1980, healthcare has become a major expenditure in the United States, making it a prime target for fraudulent activities due to the sector's vast scale and financial significance. Effective fraud detection is crucial for minimizing healthcare costs. To enhance detection capabilities, researchers have developed advanced antifraud techniques ut...

Given a graph G and an integer b, Bandwidth asks whether there exists a bijection \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\pi $$\end{document} from V(G) to \doc...

In recent years, multi-view clustering has attracted significant attention due to its ability to leverage both consistency and complementarity across different views. Existing deep clustering methods typically focus on learning representations for a single view or consistent representations across multiple views, often overlooking the correlations...

This study presents photometric analysis of the intermediate-age open cluster King 6, utilizing photometric data in U BV (RI) c passband and data from the 2M ASS mission. The Gaia DR3 kinematic data were used to estimate the membership probabilities and T ESS data is employed to search for variable stars within the cluster. The cluster's radius is...

This study introduces a fractal-inspired PCA-based framework to distinguish stable pitting pathwaysin 316 L stainless steel in chloride media. By transforming potentiodynamic polarisation data into aMandelbrot space, the approach reveals two distinct scenarios of stable pitting growth: directlyfollowing passivity breakdown (case I) and preceded by...

Attribute-Based Access Control (ABAC) enables highly expressive and flexible access decisions by considering a wide range of contextual attributes. ABAC policies use logical expressions that combine these attributes, allowing for precise and context-aware control. Algorithms that mine ABAC policies from legacy access control systems can significant...

The global appearance of the new virus known as Covid-19 has affected students' mental health, who observe the mortality rate from this new virus. One sector that needs to be evaluated from a mental health perspective is the education sector. The aim of this study was to identify and characterize the levels of anxiety and stress experienced by 1,40...

We show that in common inflationary models where primordial black holes are formed due to the collapse of sizeable inflationary perturbations, their initial spatial clustering beyond the Poisson distribution does not affect the binary mergers — including sub-solar primordial black holes — responsible for the gravitational waves detectable by LIGO-V...

The k-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard k-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate k. This idealized view, however, starkly c...

The evolving educational landscape demands that teachers possess the knowledge and skills to effectively integrate technology into their teaching practices. This descriptive-correlational study investigated the Technological Pedagogical Content Knowledge (TPACK) and readiness of thirty – one (31) Grade Seven Mathematics teachers in the Surallah Sec...

A topological pump on an $N\textrm{-}$leg spin ladder is discussed by introducing spatial clusterization whose adiabatic limit is a set of $2N\textrm{-}$site staircase clusters. We set a pump path in the parameter space that connects two different symmetry protected topological phases. By introducing a symmetry breaking staggered magnetic field, th...

This paper re-examines the syntactic properties of the sentence-final particle (henceforth, SFP) ho2 in Hong Kong Cantonese (henceforth, Cantonese). Despite studies such as Lam 2014, Tang 2020, and Law et al. 2024, variation persists among native speakers in their judgments regarding the acceptability of SFP clusters such as me1-ho2 . Additionally,...

This study explores the complex and multifaceted nature of central bank independence (CBI) at the country level, highlighting both similarities and differences. The investigation centers on the k-prototypes clustering algorithm, which effectively captures the complexities of CBI by incorporating both numerical and categorical data related to financ...