Cluster Analysis

  • Brian Everitt
  • Sophia Rabe-Hesketh
Part of the Statistics for Biology and Health book series (SBH)

Abstract

Cluster analysis is a generic term for a large collection of techniques designed to investigate multivariate data to determine whether the data consist of relatively distinct groups of similar ‘individuals’ (using individuals as a general term for the variety of entities that may be the subject of the analysis). In medicine, for example, discovering that a large set of patients can be partitioned into a small number of groups or clusters, within which the patients have very similar characteristics may have important implications both for treatment of the disease and for understanding its etiology.

Keywords

Multiple Sclerosis Motor Neuron Disease Average Linkage Single Linkage Complete Linkage 
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 2001

Authors and Affiliations

  • Brian Everitt
    • 1
  • Sophia Rabe-Hesketh
    • 1
  1. 1.Biostatistics and Computing DepartmentInstitute of PsychiatryLondonUK

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