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Description for Clustering
Hardcover. Written by two of the best-known experts in the field, Clustering is the only thoroughly comprehensive text on the subject currently available. The book looks at the full range of clustering and provides enough detail to allow users to select the method that best fits their application. Series: IEEE Press Series on Computational Intelligence. Num Pages: 368 pages, Illustrations. BIC Classification: PB; TJ; UYQE. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 163 x 23. Weight in Grams: 640.
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.
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.
Product Details
Format
Hardback
Publication date
2008
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
368
Condition
New
Series
IEEE Press Series on Computational Intelligence
Number of Pages
368
Place of Publication
, United States
ISBN
9780470276808
SKU
V9780470276808
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Rui Xu
Rui Xu, PhD, is a Research Associate in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology. His research interests include computational intelligence, machine learning, data mining, neural networks, pattern classification, clustering, and bioinformatics. Dr. Xu is a member of the IEEE, the IEEE Computational Intelligence Society (CIS), and Sigma Xi. Donald C. Wunsch ... Read more
Reviews for Clustering
“This book provides a comprehensive and thorough presentation of this research area, describing some of the most important clustering algorithms proposed in research literature.” (Computing Reviews, June 2009) "The book covers a lot of ground in a relatively small number of pages, and should work well as a learning tool and reference." (Computing Reviews, May 28, 2009)