Description |
1 online resource (xvii, 316 pages) : illustrations |
Contents |
1. Clustering and fuzzy clustering -- 2. Computing with granular information : fuzzy sets and fuzzy relations -- 3. Logic-oriented neurocomputing -- 4. Conditional fuzzy clustering -- 5. Clustering with partial supervision -- 6. Principles of knowledge-based guidance in fuzzy clustering -- 7. Collaborative clustering -- 8. Directional clustering -- 9. Fuzzy relational clustering -- 10. Fuzzy clustering of heterogeneous patterns -- 11. Hyperbox models of granular data : the Tchebyschev FCM -- 12. Genetic tolerance fuzzy neural networks -- 13. Granular prototyping -- 14. Granular mappings -- 15. Linguistic modeling |
Summary |
"This is must reading for researchers, professionals, and students interested in clustering, fuzzy clustering, unsupervised learning, neural networks, fuzzy sets, pattern recognition, and system modeling. With the author's emphasis on mastering the prerequisites, coupled with carefully constructed practical examples and experiments, readers will be well on their way to becoming knowledge-based clustering experts themselves."--Jacket |
Analysis |
Electrical and Electronics Engineering |
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FACsci |
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ER Internet Book Full text |
Bibliography |
Includes bibliographical references (pages 297-313) and index |
Notes |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
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Print version record |
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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL |
Subject |
Soft computing.
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Granular computing.
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Fuzzy systems.
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COMPUTERS -- Enterprise Applications -- Business Intelligence Tools.
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COMPUTERS -- Intelligence (AI) & Semantics.
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Fuzzy systems
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Granular computing
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Soft computing
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Form |
Electronic book
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ISBN |
0471708593 |
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9780471708599 |
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0471708607 |
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9780471708605 |
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