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

15 in stock


    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:
    Computing 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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