Innovations in fuzzy clustering

Theory and Applications

Autori

• Mika Satō

Parametri

• 152 pagine
• 6 ore di lettura

• Matematica

Maggiori informazioni sul libro

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.

Lingua: Inglese

Pubblicato: 2007

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