1. An Introduction to Classification and Clustering

  1. Brian S. Everitt,
  2. Sabine Landau,
  3. Morven Leese and
  4. Daniel Stahl

Published Online: 25 JAN 2011

DOI: 10.1002/9780470977811.ch1

Cluster Analysis, 5th Edition

Cluster Analysis, 5th Edition

How to Cite

Everitt, B. S., Landau, S., Leese, M. and Stahl, D. (2011) An Introduction to Classification and Clustering, in Cluster Analysis, 5th Edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470977811.ch1

Author Information

  1. King's College London, UK

Publication History

  1. Published Online: 25 JAN 2011
  2. Published Print: 7 JAN 2011

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470749913

Online ISBN: 9780470977811

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Keywords:

  • aetiology;
  • cluster analysis;
  • objective classification;
  • stable classification

Summary

Classification, in its widest sense, is needed for the development of language, which consists of words that help to recognize and discusses the different types of events, objects and people. The classification has two main aims. The first is the prediction-separating diseases that require different treatments. The second is to provide a basis for research into aetiology- the causes of different types of disease. This chapter aims to provide objective and stable classifications. Objective in the sense that the analysis of the same set of organisms by the same sequence of numerical methods produces the same classification; stable in that the classification remains the same under a wide variety of additions of organisms or of new characteristics describing them. It describes briefly a number of applications of cluster analysis reported in some of these disciplines.

Controlled Vocabulary Terms

cluster analysis