.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition
Frank Höppner
€ 236.26
FREE Delivery in Ireland
Description for Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition
Hardback. 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. Num Pages: 300 pages, references, index. BIC Classification: PBCH; PBWX; UNC; UYAM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 163 x 23. Weight in Grams: 586.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
1999
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
300
Condition
New
Number of Pages
304
Place of Publication
New York, United States
ISBN
9780471988649
SKU
V9780471988649
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Frank Höppner
Frank Höppner and Frank Klawonn are the authors of Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition, published by Wiley.
Reviews for Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition