Advances in Fuzzy Clustering and its Applications (PDF)

A comprehensive, coherent, and in depth presentation of the
state of the art in fuzzy clustering.

Fuzzy clustering is now a mature and vibrant area of research
with highly innovative advanced applications. Encapsulating this
through presenting a careful selection of research contributions,
this book addresses timely and relevant concepts and methods,
whilst identifying major challenges and recent developments in the
area. Split into five clear sections, Fundamentals, Visualization,
Algorithms and Computational Aspects, Real-Time and Dynamic
Clustering, and Applications and Case Studies, the book covers a
wealth of novel, original and fully updated material, and in
particular offers:

* a focus on the algorithmic and computational augmentations of
fuzzy clustering and its effectiveness in handling high dimensional
problems, distributed problem solving and uncertainty
management.

* presentations of the important and relevant phases of cluster
design, including the role of information granules, fuzzy sets in
the realization of human-centricity facet of data analysis, as well
as system modelling

* demonstrations of how the results facilitate further detailed
development of models, and enhance interpretation aspects

* a carefully organized illustrative series of applications and
case studies in which fuzzy clustering plays a pivotal role

This book will be of key interest to engineers associated with
fuzzy control, bioinformatics, data mining, image processing, and
pattern recognition, while computer engineers, students and
researchers, in most engineering disciplines, will find this an
invaluable resource and research tool.