Optimized Density Peak Clustering Algorithm by Adaptive Aggregation Strategy

Optimized Density Peak Clustering Algorithm by Adaptive Aggregation Strategy

Aiming at the problem that the density peak clustering algorithm is greatly influenced by human interven-tion and parameter is sensitive, that is the improper selection of its parameter cutoff distance dc will lead to the wrong selection of initial cluster centers. And in some cases, even the proper...

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Bibliographic Details
Main Author: QIAN Xuezhong, JIN Hui
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-04-01
Series:Jisuanji kexue yu tansuo
Subjects:
density peak
k-nearest neighbor [(knn)]
local density
merging strategy
clustering density reachable
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2174.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2174.shtml

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