A heuristic clustering algorithm based on high density-connected partitionsOA

作者：Yuan Lufeng;Yao Erlin;Tan Guangming

作者单位：State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R.ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, P.R.ChinaState Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R.China

中文关键词：heuristic clusteringdensity-based spatial clustering of applications with noise ( DBSCAN)density-based clusteringagglomerative clusteringmachine learninghigh density-connected partitionsoptimal clustering number

英文关键词：heuristic clusteringdensity-based spatial clustering of applications with noise ( DBSCAN)density-based clusteringagglomerative clusteringmachine learninghigh density-connected partitionsoptimal clustering number

刊名：《高技术通讯（英文版）》 2018 (2)

相关项目：面向气候和湍流模拟的百万量级异构众核可扩展并行算法与优化方法

页码/页数：149-155,7

基金：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).

DOI：10.3772/j.issn.1006-6748.2018.02.005