Robust cluster analysis and variable selection
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...
| Other Authors: | |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton :
CRC Press
[2015]
|
| Edition: | 1st edition |
| Series: | Monographs on statistics and applied probability (Series) ;
137. |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628757906719 |
Table of Contents:
- Front Cover; Contents; Preface; List of Figures; List of Tables; Glossary of notation; Introduction; Chapter 1 - Mixture and classification models and their likelihood estimators; Chapter 2 - Robustification by trimming; Chapter 3 - Algorithms; Chapter 4 - Favorite solutions and cluster validation; Chapter 5 - Variable selection in clustering; Chapter 6 - Applications; Appendix A - Geometry and linear algebra; Appendix B - Topology; Appendix C - Analysis; Appendix D - Measures and probabilities; Appendix E - Probability; Appendix F - Statistics; Appendix G - Optimization; References
- Back Cover
