MGR: An Information Theory Based Hierarchical Divisive Clustering Algorithm for Categorical Data

MGR: An Information Theory Based Hierarchical Divisive Clustering Algorithm 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. While many algorithms for clustering categorical data have been proposed, some have low clustering accuracy while others have high computat...

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Bibliographic Details
Main Authors: Hongwu, Qin, Ma, Xiuqin, Herawan, Tutut, Jasni, Mohamad Zain
Format: Article
Language:English
Published: Elsevier 2014
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/7511/
http://umpir.ump.edu.my/id/eprint/7511/1/MGR-%20An%20Information%20Theory%20Based%20Hierarchical%20Divisive%20Clustering%20Algorithm%20for%20Categorical%20Data.pdf

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