Extensions to the K-AMH algorithm for numerical clustering
The k-AMH algorithm has been proven efficient in clustering categorical datasets. It can also be used to cluster numerical values with minimum modification to the original algorithm. In this paper, we present two algorithms that extend the k-AMH algorithm to the clustering of numerical values. The o...
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Main Authors: | , |
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Format: | Article |
Language: | English |
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Universiti Utara Malaysia
2018
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Online Access: | http://repo.uum.edu.my/24940/1/JICT%2017%204%202018%20587%20599.pdf http://repo.uum.edu.my/24940/ http://jict.uum.edu.my/index.php/current-issues-1#a |
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Institution: | Universiti Utara Malaysia |
Language: | English |
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