Clustering ( IEEE Press Series on Computational Intelligence )

Publication series :IEEE Press Series on Computational Intelligence

Author: Rui Xu  

Publisher: John Wiley & Sons Inc‎

Publication year: 2008

E-ISBN: 9780470382783

P-ISBN(Hardback):  9780470276808

Subject: O212.4 Multivariate Analyses

Language: ENG

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Description

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.

Chapter

CONTENTS

pp.:  1 – 7

PREFACE

pp.:  7 – 11

1. CLUSTER ANALYSIS

pp.:  11 – 13

2. PROXIMITY MEASURES

pp.:  13 – 27

3. HIERARCHICAL CLUSTERING

pp.:  27 – 43

4. PARTITIONAL CLUSTERING

pp.:  43 – 75

5. NEURAL NETWORK–BASED CLUSTERING

pp.:  75 – 123

6. KERNEL-BASED CLUSTERING

pp.:  123 – 175

7. SEQUENTIAL DATA CLUSTERING

pp.:  175 – 191

8. LARGE-SCALE DATA CLUSTERING

pp.:  191 – 225

9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING

pp.:  225 – 249

10. CLUSTER VALIDITY

pp.:  249 – 275

11. CONCLUDING REMARKS

pp.:  275 – 291

PROBLEMS

pp.:  291 – 295

REFERENCES

pp.:  295 – 305

AUTHOR INDEX

pp.:  305 – 343

SUBJECT INDEX

pp.:  343 – 353

LastPages

pp.:  353 – 370

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