Innovations in Fuzzy Clustering: Theory and Applications / Edition 1

by Mika Sato-Ilic

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 , #205
Edition description:	2006
Pages:	151
Product dimensions:	6.10(w) x 9.25(h) x 0.02(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.