An Improved Algorithm Based on Fast Search and Find of Density Peak Clustering for High-Dimensional Data
The find of density peak clustering algorithm (FDP) has poor performance on high-dimensional data. This problem occurs because the clustering algorithm ignores the feature selection. All features are evaluated and calculated under the same weight, without distinguishing. This will lead to the final...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2021-01-01
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| Series: | Wireless Communications and Mobile Computing |
| Online Access: | http://dx.doi.org/10.1155/2021/9977884 |