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.
About the author
José Valente de Oliveira received his Ph.D. (1996),
M.Sc. (1992), and the ‘Licenciado’ degree in Electrical
and Computer Engineering from the IST, Technical University of
Lisbon. Currently he is an Assistant Professor in the Faculty
of Science and Technology at the University of Algarve where he
served as Deputy Dean from 2002-2003. He was recently
appointed director of the University of Algarve Informatics Lab, a
research laboratory specializing in computational intelligence
including fuzzy sets, fuzzy and intelligent systems, machine
learning, and optimization.
Witold Pedrycz is a Professor and Canada Research Chair
(CRC) in the Department of Electrical and Computer Engineering,
University of Alberta, Edmonton, Canada. He is also with the
Systems Research Institute of the Polish Academy of Sciences.
He is actively pursuing research in computational intelligence,
fuzzy modeling, knowledge discovery and data mining, fuzzy control
including fuzzy controllers, pattern recognition, knowledge-based
neural networks, relational computation, bioinformatics, and
Software Engineering. He currently serves as an Associate
Editor of IEEE Transactions on Fuzzy Systems.
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