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Record Nr. |
UNINA9910144693903321 |
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Autore |
Kaufman Leonard |
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Titolo |
Finding groups in data [[electronic resource] /] : an introduction to cluster analysis / / Leonard Kaufman, Peter J. Rousseeuw |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley-Interscience, c2005 |
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ISBN |
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1-282-30805-X |
9786612308055 |
0-470-31680-2 |
0-470-31748-5 |
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Descrizione fisica |
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1 online resource (xiv, 342 p. ) : ill |
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Collana |
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Wiley series in probability and statistics |
Wiley-Interscience paperback series |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Cluster analysis |
Mathematics |
Mathematical Statistics |
Physical Sciences & Mathematics |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Originally published: New York: Wiley, 1990. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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. |
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