Innovations in Fuzzy Clustering
Download or Read eBook Innovations in Fuzzy Clustering PDF written by Mika Sato-Ilic and published by Springer Science & Business Media. This book was released on 2006-10-09 with total page 163 pages. Available in PDF, EPUB and Kindle.
| Author | : Mika Sato-Ilic |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 163 |
| Release | : 2006-10-09 |
| ISBN-10 | : 9783540343561 |
| ISBN-13 | : 3540343563 |
| Rating | : 4/5 (61 Downloads) |
Book Synopsis Innovations in Fuzzy Clustering by : Mika Sato-Ilic
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.
