Jose Valente de Oliveira / Witold Pedrycz (eds.)

Advances in Fuzzy Clustering and Its Applications

Herausgegeben:Valente de Oliveira, Jose; Pedrycz, Witold

• Gebundenes Buch

Produktbeschreibung

Divided into four sections, Advances in Fuzzy Clustering and its Applications first explores the essentials of fuzzy clustering, including motivation, basic algorithms, computing aspects, realizations, cluster validity assessment, and ensuing interpretation of the results along with several representative areas of applications.

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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, includingthe 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.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 454
• Erscheinungstermin: 1. Juni 2007
• Englisch
• Abmessung: 248mm x 174mm x 31mm
• Gewicht: 994g
• ISBN-13: 9780470027608
• ISBN-10: 0470027606
• Artikelnr.: 22521181

Autorenporträt

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.

Inhaltsangabe

List of Contributors. Foreword. Preface. Part I Fundamentals. 1
Fundamentals of Fuzzy Clustering (Rudolf Kruse, Christian Döring and
Marie-Jeanne Lesot). 2 Relational Fuzzy Clustering (Thomas A. Runkler). 3
Fuzzy Clustering with Minkowski Distance Functions (Patrick J.F. Groenen,
Uzay Kaymak and Joost van Rosmalen). 4 Soft Cluster Ensembles (Kunal Punera
and Joydeep Ghosh). Part II Visualization. 5 Aggregation and Visualization
of Fuzzy Clusters Based on Fuzzy Similarity Measures (János Abonyi and
Balázs Feil). 6 Interactive Exploration of Fuzzy Clusters (Bernd Wiswedel,
David E. Patterson and Michael R. Berthold). Part III Algorithms and
Computational Aspects. 7 Fuzzy Clustering with Participatory Learning and
Applications (Leila Roling Scariot da Silva, Fernando Gomide and Ronald
Yager). 8 Fuzzy Clustering of Fuzzy Data (Pierpaolo D'Urso). 9
Inclusion-based Fuzzy Clustering (Samia Nefti-Meziani and Mourad Oussalah).
10 Mining Diagnostic Rules Using Fuzzy Clustering (Giovanna Castellano,
Anna M. Fanelli and Corrado Mencar). 11 Fuzzy Regression Clustering (Mikal
Sato-Ilic). 12 Implementing Hierarchical Fuzzy Clustering in Fuzzy Modeling
Using the Weighted Fuzzy C-means (George E. Tsekouras). 13 Fuzzy Clustering
Based on Dissimilarity Relations Extracted from Data (Mario G.C.A. Cimino,
Beatrice Lazzerini and Francesco Marcelloni). 14 Simultaneous Clustering
and Feature Discrimination with Applications (Hichem Frigui). Part IV
Real-time and Dynamic Clustering. 15 Fuzzy Clustering in Dynamic Data
Mining - Techniques and Applications (Richard Weber). 16 Fuzzy Clustering
of Parallel Data Streams (Jürgen Beringer and Eyke Hüllermeier). 17
Algorithms for Real-time Clustering and Generation of Rules from Data
(Dimitar Filev and Plamer Angelov). Part V Applications and Case Studies.
18 Robust Exploratory Analysis of Magnetic Resonance Images using FCM with
Feature Partitions (Mark D. Alexiuk and Nick J. Pizzi). 19 Concept
Induction via Fuzzy C-means Clustering in a High-dimensional Semantic Space
(Dawei Song, Guihong Cao, Peter Bruza and Raymond Lau). 20 Novel
Developments in Fuzzy Clustering for the Classification of Cancerous Cells
using FTIR Spectroscopy (Xiao-Ying Wang, Jonathan M. Garibaldi, Benjamin
Bird and Mike W. George). Index.

Rezensionen

Researchers, as well as those with incipient interest in the field, will find this book very useful and informative. ( Computing Reviews , July 8, 2008)