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Pattern Recognition with Fuzzy Objective Function Algorithms
James C. Bezdek
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Description for Pattern Recognition with Fuzzy Objective Function Algorithms
Paperback. Series: Advanced Applications in Pattern Recognition. Num Pages: 276 pages, black & white illustrations. BIC Classification: GBC; PB; UY. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 14. Weight in Grams: 408.
The fuzzy set was conceived as a result of an attempt to come to grips with the problem of pattern recognition in the context of imprecisely defined categories. In such cases, the belonging of an object to a class is a matter of degree, as is the question of whether or not a group of objects form a cluster. A pioneering application of the theory of fuzzy sets to cluster analysis was made in 1969 by Ruspini. It was not until 1973, however, when the appearance of the work by Dunn and Bezdek on the Fuzzy ISODATA (or fuzzy c-means) ... Read more
The fuzzy set was conceived as a result of an attempt to come to grips with the problem of pattern recognition in the context of imprecisely defined categories. In such cases, the belonging of an object to a class is a matter of degree, as is the question of whether or not a group of objects form a cluster. A pioneering application of the theory of fuzzy sets to cluster analysis was made in 1969 by Ruspini. It was not until 1973, however, when the appearance of the work by Dunn and Bezdek on the Fuzzy ISODATA (or fuzzy c-means) ... Read more
Product Details
Publisher
Springer-Verlag New York Inc.
Format
Paperback
Publication date
2012
Series
Advanced Applications in Pattern Recognition
Condition
New
Weight
394g
Number of Pages
272
Place of Publication
New York, NY, United States
ISBN
9781475704525
SKU
V9781475704525
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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