Innovations in Fuzzy Clustering
Author | : Mika Sato-Ilic |
Publisher | : Springer |
Total Pages | : 162 |
Release | : 2006-10-31 |
ISBN-10 | : 9783540343578 |
ISBN-13 | : 3540343571 |
Rating | : 4/5 (571 Downloads) |
Download or read book Innovations in Fuzzy Clustering written by Mika Sato-Ilic and published by Springer. This book was released on 2006-10-31 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering; Fuzzy Clustering based Principal Component Analysis; Fuzzy Clustering based Regression Analysis; Kernel based Fuzzy Clustering; Evaluation of Fuzzy Clustering; Self-Organized Fuzzy Clustering. This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.