Description

Book Synopsis
Fuzzy clustering, which combines fuzzy logic and cluster analysis techniques, has experienced a spur of interest in recent years owing to its important applications in image recognition. This revised, updated, and expanded translation of the German book deals with the ideas and algorithms of fuzzy clustering and their applications.

Table of Contents
Introduction.

Basic Concepts.

Classical Fuzzy Clustering Algorithms.

Linear and Ellipsoidal Prototypes

Shell Prototypes.

Polygonal Object Boundaries.

Cluster Estimation Models.

Cluster Validity.

Rule Generation with Clustering.

Appendix.

Bibliography.

Fuzzy Cluster Analysis Methods for Classification

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    A Hardback by Frank Hoppner, Frank Klawonn, Rudolf Kruse


      View other formats and editions of Fuzzy Cluster Analysis Methods for Classification by Frank Hoppner

      Publisher: Wiley
      Publication Date: 4/23/1999 12:00:00 AM
      ISBN13: 9780471988649, 978-0471988649
      ISBN10: 0471988642
      Also in:
      Data capture and analysis Mathematics Set theory Electronics and communications engineering

      Description

      Book Synopsis
      Fuzzy clustering, which combines fuzzy logic and cluster analysis techniques, has experienced a spur of interest in recent years owing to its important applications in image recognition. This revised, updated, and expanded translation of the German book deals with the ideas and algorithms of fuzzy clustering and their applications.

      Table of Contents
      Introduction.

      Basic Concepts.

      Classical Fuzzy Clustering Algorithms.

      Linear and Ellipsoidal Prototypes

      Shell Prototypes.

      Polygonal Object Boundaries.

      Cluster Estimation Models.

      Cluster Validity.

      Rule Generation with Clustering.

      Appendix.

      Bibliography.

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