Broken down into five clear sections, Fundamentals, Visualization, Algorithms and Computational Aspects, Real-Time and Dynamic Clustering, and Applications and Case Studies, this book includes a wealth of novel, original and fully updated material, and offers in particular: focus on the algorithm and computational augmentations of fuzzy clustering and effectiveness in handling high dimensional problems, distributed problem solving and uncertainty management. presentation of important and relevant phases of cluster design, including the role of information granules, fuzzy sets in the realization of human-centricity in terms of data analysis, and modeling the system demonstration of how the results facilitate further development of models, and enhance interpretation aspects of a series of illustrations-heart organized care applications and case studies in which fuzzy clustering plays an important role This book will attract key for 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 an invaluable resource and research tool.