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Knowledge-based Clustering
Witold Pedrycz
€ 152.86
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Description for Knowledge-based Clustering
Hardcover. Presents the comprehensive treatment of Knowledge-Based Clustering - the clustering from data to information granules able to be integrated together with other sources of knowledge into meaningful complex intelligent systems. Num Pages: 336 pages, Illustrations. BIC Classification: UY. Category: (P) Professional & Vocational. Dimension: 236 x 164 x 21. Weight in Grams: 602.
- A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics
- Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible
- Includes illustrative material andwell-known experimentsto offer hands-on experience
Product Details
Format
Hardback
Publication date
2005
Publisher
John Wiley and Sons Ltd United States
Number of pages
336
Condition
New
Number of Pages
336
Place of Publication
, United States
ISBN
9780471469667
SKU
V9780471469667
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Witold Pedrycz
WITOLD PEDRYCZ, PHD, is a Professor and Canada Research Chair at the University of Alberta, Canada. He is also with the Systems Research Institute of The Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a Fellow of the IEEE, has authored nine research monographs, edited six volumes, and has written numerous papers in computational intelligence, granular computing, pattern recognition, quantitative software engineering, and data mining.
Reviews for Knowledge-based Clustering
"I agree with Zadeh's opinion (mentioned at the end of book's foreword): 'The author and the publisher deserve our loud applause and congratulations.'" (Computing Reviews.com, May 19, 2005)