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Finding groups in data / : an introduction to cluster analysis / / Leonard Kaufman, Peter J. Rousseeuw



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Autore: Kaufman Leonard Visualizza persona
Titolo: Finding groups in data / : an introduction to cluster analysis / / Leonard Kaufman, Peter J. Rousseeuw Visualizza cluster
Pubblicazione: Hoboken, N.J., : Wiley-Interscience, c2005
Descrizione fisica: 1 online resource (xiv, 342 p. ) : ill
Disciplina: 519.53
Soggetto topico: Cluster analysis
Mathematics
Mathematical Statistics
Physical Sciences & Mathematics
Soggetto genere / forma: Electronic books.
Altri autori: RousseeuwPeter J  
Note generali: Originally published: New York: Wiley, 1990.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 1. Introduction. 2. Partitioning Around Medoids (Program PAM). 3. Clustering large Applications (Program CLARA). 4. Fuzzy Analysis. 5. Agglomerative Nesting (Program AGNES). 6. Divisive Analysis (Program DIANA). 7. Monothetic Analysis (Program MONA). Appendix 1. Implementation and Structure of the Programs. Appendix 2. Running the Programs. Appendix 3. Adapting the Programs to Your Needs. Appendix 4. The Program CLUSPLOT. References. Author Index. Subject Index.
Sommario/riassunto: Presenting a selection of methods which can deal with most applications, this text looks at the fundamental aspects of cluster analysis, identifying the main approaches to clustering and providing guidance in choosing between the available methods.
Titolo autorizzato: Finding groups in data  Visualizza cluster
ISBN: 1-282-30805-X
9786612308055
0-470-31680-2
0-470-31748-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910677433703321
Lo trovi qui: Univ. Federico II
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Serie: Wiley series in probability and statistics. Wiley-Interscience paperback series.