Ultan P. Doherty- PhD Student at Trinity College Dublin
Ultan P. Doherty
- PhD Student at Trinity College Dublin
Statistics PhD Student,
Taighde Éireann - Research Ireland GOIPG Scholar
About
2
Publications
32
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Introduction
Skills and Expertise
Current institution
Education
September 2017 - May 2021
Publications
Publications (2)
The presence of outliers can prevent clustering algorithms from accurately determining an appropriate group structure within a data set. We present outlierMBC, a model-based approach for sequentially removing outliers and clustering the remaining observations. Our method identifies outliers one at a time while fitting a multivariate Gaussian mixtur...
Model‐based clustering is a statistical approach to cluster analysis, which has been successfully deployed in a number of domains due to its principled framework, clear assumptions, and adaptability. For these reasons, there has been substantial interest in applying model‐based clustering methods to flow cytometry and mass cytometry data. The ident...
