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- ISBN: 9780470027608 | 0470027606
- Cover: Hardcover
- Copyright: 6/5/2007
Divided into four sections the first section, 'Fuzzy clustering-the primer', covers the essentials of fuzzy clustering including motivation, basic algorithms, computing aspects, realisations, cluster validity assessment and ensuing interpretation of the results along with several representative areas of applications. Chapters presenting the underlying fundamentals i.e. the 'Foundations' of fuzzy clustering follow this. The authors elaborate on the role of fuzzy sets in data analysis, discuss the principles of data organization, present fundamental algorithms and their augmentations, identify pitfalls and embark on the interpretation issues. Different paradigms of unsupervised learning along with so-called knowledge-based clustering and data organisation are also addressed. The third section 'Algorithms and Computational Aspects' focuses on the algorithmic and computational augmentations of fuzzy clustering and demonstrates its effectiveness in highly dimensional problems, distributed problem solving and uncertainty handling. To conclude the book, 'Applications and Case Studies' is devoted to a series of applications in which fuzzy clustering plays a pivotal role. The primary intent is to discuss its role in the overall design process in various tasks of prediction, classification, control and modelling. Here it becomes highly instructive to highlight at which phase of the design clustering is of relevance, what role it plays and how the results facilitate further detailed development of models or enhance interpretation aspects.