A novel density peak clustering algorithm based on squared residual error
The density peak clustering (DPC) algorithm is designed to quickly identify intricate-shaped clusters with high dimensionality by finding high-density peaks in a non-iterative manner and using only one threshold parameter. However, DPC has certain limitations in processing low-density data points be...
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Main Authors: | PARMAR, Milan, WANG, Di, TAN, Ah-hwee, MIAO, Chunyan, JIANG, Jianhua, ZHOU, You |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5465 https://ink.library.smu.edu.sg/context/sis_research/article/6468/viewcontent/SPAC2017C.pdf |
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Institution: | Singapore Management University |
Language: | English |
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