ABSTRACT

Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection,

chapter |6 pages

Introduction

chapter 2|42 pages

- Robustification by trimming

chapter 3|30 pages

- Algorithms

chapter 5|36 pages

- Variable selection in clustering

chapter 6|22 pages

- Applications