Data clustering using the Bees Algorithm and the Kd-Tree structure: Flexible data management strategies to improve the performance of some clustering algorithms - Hasan Al-Jabbouli
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The most popular techniques of data clustering, which is a main task of data mining and a common technique used in many fields, are the K-means and C-means algorithms. Clustering using the K-means or C-means algorithms generally is fast and produces good results. Although these algorithms have been successfully implemented in several areas, they still have a number of limitations. The main aim of this work ... Full description
Description
The most popular techniques of data clustering, which is a main task of data mining and a common technique used in many fields, are the K-means and C-means algorithms. Clustering using the K-means or C-means algorithms generally is fast and produces good results. Although these algorithms have been successfully implemented in several areas, they still have a number of limitations. The main aim of this work is to develop flexible data management strategies to address some of those limitations and improve the performance of the algorithms.
More Information
| Author | Hasan Al-Jabbouli |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2011 |
| Cover type | Softcover |
| EAN | 9783846542705 |