Innovations in Fuzzy Clustering

Innovations in Fuzzy Clustering
Author :
Publisher : Springer Science & Business Media
Total Pages : 163
Release :
ISBN-10 : 9783540343561
ISBN-13 : 3540343563
Rating : 4/5 (563 Downloads)

Book Synopsis Innovations in Fuzzy Clustering by : Mika Sato-Ilic

Download or read book Innovations in Fuzzy Clustering written by Mika Sato-Ilic and published by Springer Science & Business Media. This book was released on 2006-10-09 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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