A buffer-based online clustering for evolving data stream
Data stream clustering plays an important role in data stream mining for knowledge extraction. Numerous researchers have recently studied density-based clustering algorithms due to their capability to generate arbitrarily shaped clusters. However, most of the algorithms are either fully offline, hyb...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24676/ http://umpir.ump.edu.my/id/eprint/24676/ http://umpir.ump.edu.my/id/eprint/24676/ http://umpir.ump.edu.my/id/eprint/24676/1/A%20buffer-based%20online%20clustering%20for%20evolving%20data%20stream.pdf |