Finding Groups in Data - Leonard Kaufman , Peter J. Rousseeuw - Librairie Eyrolles
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Finding Groups in Data

Finding Groups in Data

An Introduction to Cluster Analysis

Leonard Kaufman, Peter J. Rousseeuw - Collection Wiley Series in Probability and Statistics

342 pages, parution le 20/05/2005

Résumé

An introduction to the practical application of cluster analysis, Finding Groups in Data presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. The text discusses the main approaches to clustering and provides guidance in choosing between the available methods. It also discusses various types of data, including interval-scaled and binary variables as well as similarity data and explains how these can be transformed prior to clustering. With numerous exercises to aid learning, Finding Groups in Data provides an invaluable introduction to cluster analysis with an emphasis on methods that are both easy to use and modern.

L'auteur - Leonard Kaufman

Leonard Kaufman, PhD, is affiliated with Vrije University in Brussels, Belgium.

L'auteur - Peter J. Rousseeuw

Peter J. Rousseeuw, PhD, is Professor in the Department of Mathematics and Computer Science at the University of Antwerp in Belgium.

Sommaire

  • Introduction
  • Partitioning Around Medoids (Program PAM)
  • Clustering large Applications (Program CLARA)
  • Fuzzy Analysis
  • Agglomerative Nesting (Program AGNES)
  • Divisive Analysis (Program DIANA)
  • 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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Caractéristiques techniques

  PAPIER
Éditeur(s) Wiley
Auteur(s) Leonard Kaufman, Peter J. Rousseeuw
Collection Wiley Series in Probability and Statistics
Parution 20/05/2005
Nb. de pages 342
Format 15,5 x 23,5
Couverture Broché
Poids 481g
Intérieur Noir et Blanc
EAN13 9780471735786
ISBN13 978-0-471-73578-6

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