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3 Reviews
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4 of 4 people found the following review helpful:
4.0 out of 5 stars
Excellent advanced book in fuzzy cluster analysis,
By A Customer
This review is from: Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition (Wiley IBM PC Series) (Hardcover)
Previous reviews are correct, this is not a book for beginners. This is an advanced text for specialists in the area of fuzzy clustering, and as such it is an excellent work. Standard fuzzy c-means, Gustafson-Kessel c-means and Gath-Geva c-means are drawn together in a single modeling framework for near-arbitrary cluster shapes. The cluster validity problem is examined in depth, and experimental results in image analysis are used to illustrate the theoretical material. An excellent monograph.
2 of 5 people found the following review helpful:
1.0 out of 5 stars
Worst book I have ever read,
By "smallstore" (Chicago, IL United States) - See all my reviews
This review is from: Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition (Wiley IBM PC Series) (Hardcover)
This book is ridiculous. It has too many unnecessary and, even worse, unclear definitions. It never gives us the meanings of the strange symbols in those absurd definitions. If you want to understand fuzzy cluster analysis in a relatively short time and do not want to suffer, please do not buy this book.
1 of 4 people found the following review helpful:
1.0 out of 5 stars
Too many unnecessary definitions,
By A Customer
This review is from: Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition (Wiley IBM PC Series) (Hardcover)
This is not a good book for people who want to understand the basic idea of fuzzy cluster analysis in a short time.
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Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition (Wiley IBM PC Series) by Thomas Runkler (Hardcover - June 29, 1999)
$220.00 $172.42
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