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Cluster Analysis

  • Anthony C. Atkinson
  • Marco Riani
  • Andrea Cerioli
Chapter
  • 478 Downloads
Part of the Springer Series in Statistics book series (SSS)

Abstract

In cluster analysis the multivariate observations are to be divided into g groups. The membership of the groups is not known, nor is the number of groups. The situation is seemingly different from that of discriminant analysis considered in Chapter 6 where both the number of groups and group membership are known. However, there is much in common between our procedure for clustering and the methods we used in the earlier chapters.

Keywords

Mahalanobis Distance Subset Size Standardize Distance Forward Search Disperse Group 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Anthony C. Atkinson
    • 1
  • Marco Riani
    • 2
  • Andrea Cerioli
    • 2
  1. 1.Department of StatisticsThe London School of EconomicsLondonUK
  2. 2.Dipartimento di Economia, Sezione di Statistica e InformaticaUniversità di ParmaParmaItaly

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