Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks
The clustering of mixed-attribute data is a vital and challenging issue. The density peaks clustering algorithm brings us a simple and efficient solution, but it mainly focuses on numerical attribute data clustering and cannot be adaptive. In this paper, we studied the adaptive improvement method of...
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Main Author: | Shihua Liu |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2022/6742120 |
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