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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/7511/ http://umpir.ump.edu.my/id/eprint/7511/ 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 |