An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Data stream clustering plays an important role in data stream mining for knowledge extraction. In recent years, numerous researchers have studied the online density-based clustering technique due to its capability to generate arbitrarily shaped clusters. The technique summarizes the data stream in m...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/31091/1/An%20online%20density-based%20clustering%20algorithm%20for%20data%20stream%20based%20on%20local%20optimal%20radius%20and%20cluster%20pruning.wm.pdf |