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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:
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.
Canopy Clustering Algorithm Год: 2011 |
Cluster Analysis, Data-Mining, Multi-dimensional Visualization of Earthquakes over Space, Time and Feature Space Автор: Dzwinel W., Yuen D.A., Boryczko K. Год: 2003 |
MySQL Clustering Автор: Alex Davies, Harrison Fisk Год: 2006 |
Fluid mechanics for petroleum engineers Автор: E. Bobok Год: 1993 |
Antenna Engineering Handbook Автор: Richard C. Johnson Год: 1992 |