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
     
 

There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications.

The research monograph

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Overview

There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications.

The research monograph presents the most recent advances in fuzzy clustering techniques and their applications. The following contents are included:



• 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.

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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)

Meet the Author

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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