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...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
[2015]
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| Edición: | 1st edition |
| Colección: | Monographs on statistics and applied probability (Series) ;
137. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628757906719 |
Tabla de Contenidos:
- 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
