Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition

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Frank Höppner (German Aerospace Center, Braunschweig, Germany) Frank Klawonn (University of Ostfriesland, Emden, Germany)

Fuzzy Cluster Analysis

Methods for Classification, Data Analysis and Image Recognition

Frank Höppner (German Aerospace Center, Braunschweig, Germany), Frank Klawonn (University of Ostfriesland, Emden, Germany), Rudolf Kruse (University of Magdeburg, Germany) , Thomas Runkler (Siemens AG, Munich, Germany)

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English

John Wiley & Sons Inc
23 April 1999

Set theory; Fuzzy set theory; Data capture & analysis; Maths for computer scientists

Series: Wiley IBM PC Series

Provides a timely and important introduction to fuzzy cluster analysis, its methods and areas of application, systematically describing different fuzzy clustering techniques so the user may choose methods appropriate for his problem. It provides a very thorough overview of the subject and covers classification, image recognition, data analysis and rule generation. The application examples are highly relevant and illustrative, and the use of the techniques are justified and well thought-out.

Features include:
* Sections on inducing fuzzy if-then rules by fuzzy clustering and non-alternating optimization fuzzy clustering algorithms
* Discussion of solid fuzzy clustering techniques like the fuzzy c-means, the Gustafson-Kessel and the Gath-and-Geva algorithm for classification problems
* Focus on linear and shell clustering techniques used for detecting contours in image analysis
* Accompanying software and data sets pertaining to the examples presented, enabling the reader to learn through experimentation
* Examination of the difficulties involved in evaluating the results of fuzzy cluster analysis and of determining the number of clusters with analysis of global and local validity measures

This is one of the most comprehensive books on fuzzy clustering and will be welcomed by computer scientists, engineers and mathematicians in industry and research who are concerned with different methods, data analysis, pattern recognition or image processing. It will also give graduate students in computer science, mathematics or statistics a valuable overview.

By: Frank Höppner (German Aerospace Center Braunschweig Germany), Frank Klawonn (University of Ostfriesland, Emden, Germany), Rudolf Kruse (University of Magdeburg, Germany), Thomas Runkler (Siemens AG, Munich, Germany), etc.
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 158mm, Spine: 21mm
Weight: 595g
ISBN: 9780471988649
ISBN 10: 0471988642
Series: Wiley IBM PC Series
Pages: 304
Publication Date: 23 April 1999
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Frank Höppner and Frank Klawonn are the authors of Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition, published by Wiley.