Proximity-based k-partitions clustering with ranking for document categorization and analysis
As one of the most fundamental yet important methods of data clustering, center-based partitioning approach clusters the dataset into k subsets, each of which is represented by a centroid or medoid. In this paper, we propose a new medoid-based k-partitions approach called Clustering Around Weight...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/103791 http://hdl.handle.net/10220/24579 |
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Institution: | Nanyang Technological University |
Language: | English |
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