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Innovations in fuzzy clustering

Theory and Applications

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  • 152 pages
  • 6 hours of reading

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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.

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Innovations in fuzzy clustering, Mika Satō

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Released
2007
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(Hardcover)
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