Innovations in Fuzzy Clustering: Theory and Applications

Innovations in Fuzzy Clustering: Theory and Applications

by Mika Sato-Ilic

Paperback(Softcover reprint of hardcover 1st ed. 2006)

$159.99
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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: 9783642070723
Publisher: Springer Berlin Heidelberg
Publication date: 11/23/2010
Series: Studies in Fuzziness and Soft Computing , #205
Edition description: Softcover reprint of hardcover 1st ed. 2006
Pages: 151
Product dimensions: 6.10(w) x 9.25(h) x 0.36(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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