Innovations in Fuzzy Clustering

Innovations in Fuzzy Clustering

Mika Sato-Ilic

Format: Print Book

ISBN: 9783540343561

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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.

Publication Year: 2006
Imprint: Springer Berlin Heidelberg
Format: H
Weight (Gram): 920






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