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Advances in Fuzzy Clustering and Its Applications
Fuzzy clustering is now a mature and vibrant area of researchwith highly innovative advanced applications. Encapsulating thisthrough presenting a careful selection of research contributions,this book addresses timely and relevant concepts and methods,whilst identifying major challenges and recent developments in thearea.
Split into five clear sections, Fundamentals, Visualization,Algorithms and Computational Aspects, Real-Time and DynamicClustering, and Applications and Case Studies, the book covers awealth of novel, original and fully updated material, and inparticular offers:
- a focus on the algorithmic and computational augmentations offuzzy clustering and its effectiveness in handling high dimensionalproblems, distributed problem solving and uncertaintymanagement.
- presentations of the important and relevant phases of clusterdesign, including the role of information granules, fuzzy sets inthe realization of human-centricity facet of data analysis, as wellas system modelling
- demonstrations of how the results facilitate further detaileddevelopment of models, and enhance interpretation aspects
- a carefully organized illustrative series of applications andcase studies in which fuzzy clustering plays a pivotal role
This book will be of key interest to engineers associated withfuzzy control, bioinformatics, data mining, image processing, andpattern recognition, while computer engineers, students andresearchers, in most engineering disciplines, will find this aninvaluable resource and research tool.
Publisher: Wiley (June 5, 2007)
Language: English
ISBN-10: 9780470027608
ISBN-13: 978-0470027608
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