Cluster Analysis / Edition 4

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More About This Textbook

Overview

Cluster analysis comprises a range of methods of classifying multivariate data into subgroups, and these techniques are widely applicable. This concise book is ideal for postgraduate students of statistics, as well as researchers in medicine, sociology, and market research.
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Product Details

  • ISBN-13: 9780340761199
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 7/1/2001
  • Series: A Hodder Arnold Publication
  • Edition description: Fourth Edition
  • Edition number: 4
  • Pages: 256
  • Product dimensions: 6.48 (w) x 9.39 (h) x 0.65 (d)

Meet the Author

Brian S. Everitt, Sabine Landau and Morven Leese are all at the Institute of Psychiatry, King's College London.

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Table of Contents

Preface
1 An Introduction to Classification and Clustering
2 Visualizing Clusters
3 Measurement of Proximity
4 Hierarchical Clustering
5 Optimization Clustering Techniques
6 Finite Mixture Densities as Models for Cluster Analysis
7 Miscellaneous Clustering Methods
8 Some Final Comments and Guidelines
App: Software for Cluster Analysis
Bibliography
Index
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