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Rui Xu, Don Wunsch - Clustering, Inbunden

Inbunden, Engelska, 2008

Del 10 i serien IEEE Press Series on Computational Intelligence

Clustering

Av Rui Xu, Don Wunsch

2439 kr

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Beskrivning
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.
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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 II, PhD, is the M.K. Finley Missouri Distinguished Professor at Missouri University of Science and Technology. His key contributions are in adaptive resonance and reinforcement learning hardware and applications, neurofuzzy regression, improved Traveling Salesman Problem heuristics, clustering, and bioinformatics. He is an IEEE Fellow, the 2005 International Neural Networks Society (INNS) President, and Senior Fellow of the INNS.

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“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)

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