ENGLISH

Innovations in Fuzzy Clustering: Theory and Applications

By Mika Sato-Ilic Professor Dr. , Lakhmi C. Jain Professor Dr. (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2006
ISBN
978-3-540-34356-1, 978-3-540-34357-8
DOI
10.1007/3-540-34357-1
Language
english
Format
PDF
Filesize
4 MB (4088585 bytes)
Series
Studies in Fuzziness and Soft Computing 205
Edition
1
Pages
151\161
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Appl.Mathematics/Computational Methods of Engineer

Description

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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