Cluster Analysis for Data Mining and System Identification
| Author | : János Abonyi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 317 |
| Release | : 2007-08-10 |
| ISBN-10 | : 9783764379889 |
| ISBN-13 | : 376437988X |
| Rating | : 4/5 (89 Downloads) |
Book Synopsis Cluster Analysis for Data Mining and System Identification by : János Abonyi
Download or read book Cluster Analysis for Data Mining and System Identification written by János Abonyi and published by Springer Science & Business Media. This book was released on 2007-08-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.
