Innovations in Fuzzy Clustering: Theory and Applications

  • Authors:
  • Mika Sato-Ilic

  • Affiliations:
  • -

  • Venue:
  • Innovations in Fuzzy Clustering: Theory and Applications
  • Year:
  • 2010

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Abstract

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.