Authors:
- Up-to-date treatment of analysis clustering and classifier design
- Emphasis on the numerical approach to pattern recognition
- Includes many fuzzy sets techniques and over 70 pages of references
Part of the book series: The Handbooks of Fuzzy Sets (FSHS, volume 4)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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University of West Florida, USA
James C. Bezdek
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University of Missouri, USA
James Keller
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Colorado School of Mines, USA
Raghu Krisnapuram
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Indian Statistical Institute, India
Nikhil R. Pal
Bibliographic Information
Book Title: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Authors: James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
Series Title: The Handbooks of Fuzzy Sets
DOI: https://doi.org/10.1007/b106267
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-7923-8521-9Published: 31 August 1999
Softcover ISBN: 978-0-387-24515-7Published: 25 March 2005
eBook ISBN: 978-0-387-24579-9Published: 28 September 2006
Series ISSN: 1388-4352
Edition Number: 1
Number of Pages: XVI, 776
Topics: Artificial Intelligence, Pattern Recognition, Control, Robotics, Mechatronics, Electrical Engineering