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Clustering

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This book covers the range of categorization algorithms very broadly and in an easily understood fashion, but without a lot of depth. Many software packages are mentioned and given a few paragraphs each. For my taste, too many pages are devoted to summaries of various applications rather than, say, more discussion of the relative merits of the different methods for different kinds of data. Basically, an excellent introduction to the field.

Author(s): Rui Xu, Don Wunsch
Series: IEEE Press Series on Computational Intelligence
Edition: illustrated edition
Publisher: Wiley-IEEE Press
Year: 2008

Language: English
Pages: 370

cover......Page 1
CLUSTERING......Page 5
CONTENTS......Page 7
PREFACE......Page 11
1 CLUSTER ANALYSIS......Page 13
2 PROXIMITY MEASURES......Page 27
3 HIERARCHICAL CLUSTERING......Page 43
4 PARTITIONAL CLUSTERING......Page 75
5 NEURAL NETWORK –BASED CLUSTERING......Page 123
6 KERNEL - BASED CLUSTERING......Page 175
7 SEQUENTIAL DATA CLUSTERING......Page 191
8 LARGE - SCALE DATA CLUSTERING......Page 225
9 DATA VISUALIZATION AND HIGH - DIMENSIONAL DATA CLUSTERING......Page 249
10 CLUSTER VALIDITY......Page 275
11 CONCLUDING REMARKS......Page 291
PROBLEMS......Page 295
REFERENCES......Page 305
AUTHOR INDEX......Page 343
SUBJECT INDEX......Page 353