Knowledge-Based Clustering From Data to Information Granules
, by Pedrycz, WitoldNote: Supplemental materials are not guaranteed with Rental or Used book purchases.
- ISBN: 9780471469667 | 0471469661
- Cover: Hardcover
- Copyright: 1/28/2005
A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell-known experimentsto offer hands-on experience
WITOLD PEDRYCZ, PHD, is a Professor and Canada Research Chair at the University of Alberta, Canada. He is also with the Systems Research Institute of The Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a Fellow of the IEEE, has authored nine research monographs, edited six volumes, and has written numerous papers in computational intelligence, granular computing, pattern recognition, quantitative software engineering, and data mining.
Foreword | xiii | ||||
Preface | xv | ||||
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10 Fuzzy Clustering of Heterogeneous Patterns | 191 | (18) | |||
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11 Hyperbox Models of Granular Data: The Tchebyschev FCM | 209 | (17) | |||
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12 Genetic Tolerance Fuzzy Neural Networks | 226 | (20) | |||
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13 Granular Prototyping | 246 | (24) | |||
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14 Granular Mappings | 270 | (13) | |||
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15 Linguistic Modeling | 283 | (14) | |||
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Bibliography | 297 | (18) | |||
Index | 315 |
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