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A heuristic clustering algorithm based on high density-connected partitions

Yuan Lufeng Yao Erlin Tan Guangming

高技术通讯（英文版）2018，Vol.24Issue(2)：149-155,7.

高技术通讯（英文版）2018，Vol.24Issue(2)：149-155,7.DOI:10.3772/j.issn.1006-6748.2018.02.005

A heuristic clustering algorithm based on high density-connected partitions

Yuan Lufeng ¹Yao Erlin ²Tan Guangming¹

作者信息

1. State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R.China
2. University of Chinese Academy of Sciences, Beijing 100049, P.R.China
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摘要

关键词

heuristic clustering/density-based spatial clustering of applications with noise ( DBSCAN)/density-based clustering/agglomerative clustering/machine learning/high density-connected partitions/optimal clustering number

Key words

引用本文复制引用

Yuan Lufeng,Yao Erlin,Tan Guangming..A heuristic clustering algorithm based on high density-connected partitions[J].高技术通讯（英文版）,2018,24(2):149-155,7.

基金项目

Supported by the National Key Research and Development Program of China (No.2016YFB0201305), National Science and Technology Major Project ( No.2013ZX0102-8001-001-001 ) and National Natural Science Foundation of China ( No.91430218, 31327901, 61472395, 61272134, 61432018). （No.2016YFB0201305）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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