Satoru Yokoyama

Aoyama Gakuin University · Department of Marketing

Some researchers noticed that proximities of three objects are useful to disclose relationships among objects. Sometimes it is not easy to obtain one-mode three-way proximities in contrast to obtain one-mode two-way proximities. Hence, a procedure to assemble one-mode three-way proximities from one-mode two-way proximities is introduced. And a meth...

It is not easy for companies to know how consumers react to advertisements. In recent years, the idea of occasion recognition has been proposed as a method for knowing the advertising effect. This is a state in which consumers remember the situation when they see an advertisement, and it is considered that the advertisement effect is higher in this...

Several overlapping cluster analysis models have been suggested, and various kinds of data have been analyzed by these models. ADCLUS suggested by Shepard and Arabie [9] can be adapted to one-mode two-way proximity data. INDCLUS (Carroll and Arabie [4]) is for two-mode three-way data, and GENNCLUS (DeSarbo [6]) is the generalized model for two-way...

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical meth...

A procedure of cluster analysis to deal with asymmetric similarities is introduced, where the similarity from one object to the other object is not necessarily equal to the similarity from the latter to the former. The procedure analyzes one-mode two-way asymmetric similarities among objects to classify objects into clusters. Each cluster consists...

The multi-layer cluster analysis specifies a hierarchical structure which consists of layers specified in advance, where each layer has clusters, and allocates brands to one of the clusters at each layer which minimizes a badness of fit measure based on the sum of squares of deviations in each cluster. The multi-layer cluster analysis is evaluated...

Cluster analysis can be divided into two categories; hierarchical and nonhierarchical cluster analyses. In the present study, a method of cluster analysis which does not utilize hierarchical nor non-hierarchical procedures is introduced. The present cluster analysis pre-specifies a structure having multiple layers, e.g., the species, the genus, the...

Several analysis models for proximity data have been introduced.While most of them were for one-mode two-way data, some analysis models which are able to analyze one-mode three-way data have been suggested in recent years. One-mode three-way multidimensional scaling and overlapping cluster analysis models were suggested. Furthermore, several studie...

In recent years, it is possible to more easily obtain multi-way data, and various analysis models for the data have been suggested by several researchers. However, only small number of studies have been done on the one-mode multi-way data analysis model. The authors suggested an overlapping cluster analysis model for one-mode three-way similarity d...

The present paper introduces an overlapping cluster analysis model and an associated algorithm that can analyze one-mode three-way similarities. The present model is an extension of ADCLUS model, and the present algorithm is based on the MAPCLUS algorithm. In the present model, one-mode three-way similarities are represented by the sum of the numer...

Yokoyama and Okada (2005, in press) suggested a new method that rescales a brand-switching data matrix using entropy. These studies applied the rescaling method to car-switching data, and the configuration derived by Kruskal's multidimensional scaling was interpreted as the circumplex. In the present paper, we apply that rescaling method to interge...

Several researchers have analyzed the brand-switching matrix using multidimensional scaling models. When a brand-switching matrix is analyzed using multidimensional scaling, it is necessary to rescale the matrix because there are differences among the overall sums of the rows and columns that depend on external factors, such as market share. This s...