Robust Cluster Analysis and Variable Selection: 1st Edition (e-Book) book cover

Robust Cluster Analysis and Variable Selection

1st Edition

By Gunter Ritter

Chapman and Hall/CRC

392 pages

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Hardback: 9781439857960
pub: 2014-09-02
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pub: 2014-09-02
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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,

Table of Contents

Introduction. Mixture and Classification Models and Their Likelihood Estimators. Robustification by Trimming. Algorithms. Favorite Solutions and Cluster Validation. Variable Selection in Clustering. Applications. Appendices. Bibliography. Index.

About the Author

Dr. Gunter Ritter is an emeritus professor in the Department of Mathematics and Computer Science at the University of Passau. He is the author and coauthor of numerous research papers in scientific journals in the areas of measure theory, probability theory, queuing theory, statistics, pattern and image recognition, and Fourier analysis. He is a member of the International Federation of Classification Societies and its German branch GfKl as well as the German Mathematical Society.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Database Management / Data Mining
MATHEMATICS / Probability & Statistics / General