Handbook of cluster analysis:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London, New York
CRC Press
2016
|
| Schriftenreihe: | Handbooks of Modern Statistical Methods
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | "A Chapman & Hall book." |
| Beschreibung: | xx, 753 Seiten Diagramme 26 cm |
Internformat
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| 245 | 1 | 0 | |a Handbook of cluster analysis |c edited by Christian Hennig, University College, London, UK ; Marina Meila, University of Washington, Seattle, USA ; Fionn Murtagh, University of Derby, UK, Goldsmiths, University of London, UK ; Roberto Rocci, University of Rome Tor Vergata, Italy |
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| 650 | 4 | |a Spatial analysis (Statistics) | |
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Datensatz im Suchindex
| _version_ | 1804175795324715008 |
|---|---|
| adam_text | Titel: Handbook of cluster analysis
Autor: Hennig, Christian
Jahr: 2016
Contents
Preface............................................................xi
Editors............................................................xv
Contributors.......................................................xvii
1. Cluster Analysis: An Overview..................................... 1
Christian Hennig and Marina Meila
2. A Brief History of Cluster Analysis.................................. 21
Fionn Murtagh
Section I Optimization Methods
3. Quadratic Error and k-Means....................................... 33
Boris Mirkin
4. K-Medoids and Other Criteria for Crisp Clustering ..................... 55
Douglas Steinley
5. Foundations for Center-Based Clustering: Worst-Case Approximations and
Modern Developments........................................... 67
Pranjal Awasthi and Maria Florina Balcan
Section II Dissimilarity-Based Methods
6. Hierarchical Clustering...........................................103
Pedro Contreras and Fionn Murtagh
7. Spectral Clustering..............................................125
Marina Meila
Section III Methods Based on Probability Models
8. Mixture Models for Standard p-Dimensional Euclidean Data..............145
Geoffrey J. McLachlan and Suren I. Rathnayake
9. Latent Class Models for Categorical Data .............................173
G. Celeux and Gerard Govaert
vii
viii Contents
10. Dirichlet Process Mixtures and Nonparametric Bayesian Approaches
to Clustering...................................................195
Vinayak Rao
11. Finite Mixtures of Structured Models................................217
Marco Alfö and Sara Viviani
12. Time-Series Clustering...........................................241
Jorge Caiado, Elizabeth Ann Maharaj, and Pierpaolo D Urso
13. Clustering Functional Data........................................265
David B. Hitchcock and Mark C. Greenwood
14. Methods Based on Spatial Processes.................................289
Lisa Handl, Christian Hirsch, and Volker Schmidt
15. Significance Testing in Clustering...................................315
Hanwen Huang, Yufeng Liu, David Neil Hayes, Andrew Nobel, J.S. Marron, and
Christian Hennig
16. Model-Based Clustering for Network Data............................337
Thomas Brendan Murphy
Section IV Methods Based on Density Modes and Level Sets
17. A Formulation in Modal Clustering Based on Upper Level Sets ............361
Adelchi Azzalini
18. Clustering Methods Based on Kernel Density Estimators:
Mean-Shift Algorithms...........................................383
Miguel Ä. Carreira-Perpindn
19. Nature-Inspired Clustering........................................419
Julia Handl and Joshua Knowles
Section V Specific Cluster and Data Formats
20. Semi-Supervised Clustering.......................................443
Anil Jain, Rong Jin, and Radha Chitta
21. Clustering of Symbolic Data.......................................469
Paula Brito
22. A Survey of Consensus Clustering ..................................497
Joydeep Ghosh and Ayan Acharya
Contents
23. Two-Mode Partitioning and Multipartitioning.........................519
Maurizio Vichi
24. Fuzzy Clustering................................................545
Pierpaolo D Urso
25. Rough Set Clustering.............................................575
Ivo Düntsch and Günther Gediga
Section VI Cluster Validation and Further General Issues
26. Method-Independent Indices for Cluster Validation and Estimating the
Number of Clusters..............................................595
Maria Halkidi, Michaiis Vazirgiannis, and Christian Hennig
27. Criteria for Comparing Clusterings..................................619
Marina Meila
28. Resampling Methods for Exploring Cluster Stability ....................637
Friedrich Leisch
29. Robustness and Outliers..........................................653
L.A. Garcia-Escudero, A. Gordaüza, C. Matrdn, A. Mayo-Iscar, and
Christian Hennig
30. Visual Clustering for Data Analysis and Graphical User Interfaces..........679
Sebastien Dejean and Josiane Mothe
31. Clustering Strategy and Method Selection.............................703
Christian Hennig
Index............................................................731
|
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| discipline | Mathematik |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:21:58Z |
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| language | English |
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| physical | xx, 753 Seiten Diagramme 26 cm |
| publishDate | 2016 |
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| series2 | Handbooks of Modern Statistical Methods |
| spelling | Hennig, Christian (DE-588)1032036095 edt Handbook of cluster analysis edited by Christian Hennig, University College, London, UK ; Marina Meila, University of Washington, Seattle, USA ; Fionn Murtagh, University of Derby, UK, Goldsmiths, University of London, UK ; Roberto Rocci, University of Rome Tor Vergata, Italy Boca Raton ; London, New York CRC Press 2016 xx, 753 Seiten Diagramme 26 cm txt rdacontent n rdamedia nc rdacarrier Handbooks of Modern Statistical Methods "A Chapman & Hall book." Includes bibliographical references and index Cluster analysis Spatial analysis (Statistics) Cluster analysis fast Spatial analysis (Statistics) fast Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028693531&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Handbook of cluster analysis Includes bibliographical references and index Cluster analysis Spatial analysis (Statistics) Cluster analysis fast Spatial analysis (Statistics) fast Cluster-Analyse (DE-588)4070044-6 gnd |
| subject_GND | (DE-588)4070044-6 |
| title | Handbook of cluster analysis |
| title_auth | Handbook of cluster analysis |
| title_exact_search | Handbook of cluster analysis |
| title_full | Handbook of cluster analysis edited by Christian Hennig, University College, London, UK ; Marina Meila, University of Washington, Seattle, USA ; Fionn Murtagh, University of Derby, UK, Goldsmiths, University of London, UK ; Roberto Rocci, University of Rome Tor Vergata, Italy |
| title_fullStr | Handbook of cluster analysis edited by Christian Hennig, University College, London, UK ; Marina Meila, University of Washington, Seattle, USA ; Fionn Murtagh, University of Derby, UK, Goldsmiths, University of London, UK ; Roberto Rocci, University of Rome Tor Vergata, Italy |
| title_full_unstemmed | Handbook of cluster analysis edited by Christian Hennig, University College, London, UK ; Marina Meila, University of Washington, Seattle, USA ; Fionn Murtagh, University of Derby, UK, Goldsmiths, University of London, UK ; Roberto Rocci, University of Rome Tor Vergata, Italy |
| title_short | Handbook of cluster analysis |
| title_sort | handbook of cluster analysis |
| topic | Cluster analysis Spatial analysis (Statistics) Cluster analysis fast Spatial analysis (Statistics) fast Cluster-Analyse (DE-588)4070044-6 gnd |
| topic_facet | Cluster analysis Spatial analysis (Statistics) Cluster-Analyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028693531&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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