Finding Groups in Data

An Introduction to Cluster Analysis

Leonard Kaufman, Peter J. Rousseeuw (Autoren)

Buch | Hardcover

368 Seiten

1990 | 99th ed.
John Wiley & Sons Inc (Verlag)
978-0-471-87876-6 (ISBN)

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An introduction to the practical application of cluster analysis which presents a selection of methods which are designed to deal with most applications. The main approaches to clustering are examined and guidance on choosing between the available methods is given.

This text provides an introduction to the practical application of cluster analysis and presents a selection of methods which together can deal with most applications. These methods are chosen for their robustness, consistency and general applicability. The main approaches to clustering are studied and guidance on choosing between the available methods is given. The authors also discuss various types of data, including interval-scaled and binary variables as well as similarity data, and explain ways in which these can be transformed prior to clustering. Numerous exercises are also included.

Partitioning Around Medoids (Program PAM). Clustering Large Applications (Program CLARA). Fuzzy Analysis (Program FANNY). Agglomerative Nesting (Program AGNES). Divisive Analysis (Program DIANA). Monothetic Analysis (Program MONA). Appendices. References. Author Index. Subject Index.

Erscheint lt. Verlag	18.4.1990
Reihe/Serie	Probability & Mathematical Statistics S.
Zusatzinfo	references, index
Verlagsort	New York
Sprache	englisch
Maße	158 x 236 mm
Gewicht	539 g
Themenwelt	Mathematik / Informatik ► Mathematik
ISBN-10	0-471-87876-6 / 0471878766
ISBN-13	978-0-471-87876-6 / 9780471878766
Zustand	Neuware