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Innovations in fuzzy clustering

Theory and Applications

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  • 152 stránek
  • 6 hodin čtení

Více o knize

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.

Nákup knihy

Innovations in fuzzy clustering, Mika Satō

Jazyk
Rok vydání
2007
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