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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Toimitus 12-18 arkipäivässä
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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 ... Täydellinen kuvaus
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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 is to develop flexible data management strategies to address some of those limitations and improve the performance of the algorithms.
Lisätietoja
| Kirjoittaja | Hasan Al-Jabbouli |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2011 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783846542705 |