Innovations in Fuzzy Clustering: Theory and Applications (Studies in Fuzziness and Soft Computing, #205)

by Mika Sato-Ilic

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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.

  • ISBN10 3540343571
  • ISBN13 9783540343578
  • Publish Date December 2006 (first published 1 January 2006)
  • Publish Status Active
  • Publish Country DE
  • Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Format eBook
  • Pages 162
  • Language English