Pattern Recognition with Fuzzy Objective Function Algorithms discusses many aspects of this subject, including models for pattern recognition, partitions and relations, objective functional clustering, cluster validity, modified objective functionals, algorithms, and selected applications in classifier designs. Several hundred exercises, drawing upon material in the book, are included. Many of these problems (with answers) are simple calculations, while others are applications or examples of definitions or formulas. The exercises also include problems of current research interest whose solutions are known. Each algorithm is presented step-by-step, as necessary for digital computer coding.
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Hardcover. Condition: Good. 0306406713 Good; Hardcover, No Jacket; 1981, Springer-Verlag Publishing; Former library copy with standard library markings; Moderate wear to covers with sun-fading to spine; Library stamps to endpapers; Text pages clean & unmarked; Good binding with straight spine; Purple cloth covers with title in gold lettering along spine; 272 pages; "Pattern Recognition with Fuzzy Objective Function Algorithms (Advanced Applications in Pattern Recognition)," by James C. Bezdek. Seller Inventory # SKU-F0122508211
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Hardcover. Condition: Very Good. 0306406713 Very Good+ in a Good+ Jacket; Hardcover; 1981, Springer-Verlag Publishing; Jacket is lightly edgeworn with one medium edge-tear, but is otherwise clean and intact (Now fitted with a new, Brodart jacket protector); Light wear to boards with "straight" edge-corners; Pages clean & unmarked; Tight binding with straight spine; Blue dust jacket with title in white lettering; 272 pages; "Pattern Recognition with Fuzzy Objective Function Algorithms (Advanced Applications in Pattern Recognition)," by James C. Bezdek. Seller Inventory # SKU-M9205512172
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