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Data clustering using the Bees Algorithm and the Kd-Tree structure

Flexible data management strategies to improve the performance of some clustering algorithms

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Data clustering using the Bees Algorithm and the Kd-Tree structure Hasan Al-Jabbouli
Libristo kod: 06858524
Nakladnici LAP Lambert Academic Publishing, studeni 2010
The most popular techniques of data clustering, which is a main task of data mining and a common tec... Cijeli opis
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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.

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Informacije o knjizi

Puni naziv Data clustering using the Bees Algorithm and the Kd-Tree structure
Autor Hasan Al-Jabbouli
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2011
Broj stranica 208
EAN 9783846542705
Libristo kod 06858524
Nakladnici LAP Lambert Academic Publishing
Težina 328
Dimenzije 150 x 220 x 12

Kategorija

Computing & Information Technology > Information technology: general issues
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