Innovations in Fuzzy Clustering: Theory and Applications by Mika Sato-Ilic (Hardcover, 2006)

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Product Information

This book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering; Fuzzy Clustering based Principal Component Analysis; Fuzzy Clustering based Regression Analysis; Kernel based Fuzzy Clustering; Evaluation of Fuzzy Clustering; Self-Organized Fuzzy Clustering. This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.

Product Identifiers

PublisherSpringer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
ISBN-139783540343561
eBay Product ID (ePID)87201875

Product Key Features

Number of Pages151 Pages
Publication NameInnovations in Fuzzy Clustering: Theory and Applications
LanguageEnglish
SubjectEngineering & Technology, Computer Science, Mathematics
Publication Year2006
TypeTextbook
AuthorMika Sato-Ilic
SeriesStudies in Fuzziness and Soft Computing
FormatHardcover

Dimensions

Item Height235 mm
Item Weight920 g
Item Width155 mm
Volume205

Additional Product Features

Country/Region of ManufactureGermany
Title_AuthorMika Sato-Ilic

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