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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

Language EnglishEnglish
Book Paperback
Book Data clustering using the Bees Algorithm and the Kd-Tree structure Hasan Al-Jabbouli
Libristo code: 06858524
Publishers LAP Lambert Academic Publishing, November 2010
The most popular techniques of data clustering, which is a main task of data mining and a common tec... Full description
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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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About the book

Full name Data clustering using the Bees Algorithm and the Kd-Tree structure
Language English
Binding Book - Paperback
Date of issue 2011
Number of pages 208
EAN 9783846542705
Libristo code 06858524
Weight 328
Dimensions 150 x 220 x 12
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