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.
Innovations in Fuzzy Clustering: Theory and Applications (Studies in Fuzziness and Soft Computing)
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Book Details
Author(s)Mika Sato-Ilic
PublisherSpringer
ISBN / ASIN3540343563
ISBN-139783540343561
AvailabilityUsually ships in 24 hours
Sales Rank2,739,330
MarketplaceUnited States 🇺🇸