The new efficient and accurate attribute-oriented clustering algorithms for categorical data

The new efficient and accurate attribute-oriented clustering algorithms for categorical data

Categorical data clustering has attracted much attention recently due to the fact that much of the data contained in today’s databases is categorical in nature. Many algorithms for clustering categorical data have been proposed, in which attribute-oriented hierarchical divisive clustering algorithm...

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Bibliographic Details
Main Author: Qin, Hongwu
Format: Thesis
Language:English
Published: 2012
Online Access:http://umpir.ump.edu.my/id/eprint/37063/
http://umpir.ump.edu.my/id/eprint/37063/1/The%20new%20efficient%20and%20accurate%20attribute-oriented%20clustering%20algorithms%20for%20categorical%20data.pdf

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