Innovations in Fuzzy Clustering: Theory and Applications / Edition 1

Innovations in Fuzzy Clustering: Theory and Applications / Edition 1

by Mika Sato-Ilic, Lakhmi C. Jain
     
 

ISBN-10: 3540343563

ISBN-13: 9783540343561

Pub. Date: 10/06/2006

Publisher: Springer Berlin Heidelberg

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

Overview

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 Details

ISBN-13:
9783540343561
Publisher:
Springer Berlin Heidelberg
Publication date:
10/06/2006
Series:
Studies in Fuzziness and Soft Computing Series, #205
Edition description:
2006
Pages:
151
Product dimensions:
9.21(w) x 6.14(h) x 0.50(d)

Table of Contents

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.

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