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A new Automatic Density Cluster
Zhang T(张涛); Liu C(刘昶); Zhou XF(周晓锋); Li S(李帅)
作者部门数字工厂研究室
会议名称IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
会议日期December 15-17, 2017
会议地点Chengdu, CHINA
会议主办者IEEE PRESS
会议录名称PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC)
出版者IEEE
出版地NEW YORK
2017
页码1539-1543
收录类别EI ; CPCI(ISTP)
EI收录号20182005184617
WOS记录号WOS:000426941100305
产权排序1
ISBN号978-1-5090-6414-4
关键词Density Clusters Merge Automatic Asymmetry
摘要Clustering is an important unsupervised learning approach with wide application in data mining, pattern recognition and intelligent information processing. Density clustering is a classical clustering method for handling with non-spherical clusters, besides density clustering could operate by itself without setting the number of clusters, so it is extensive used by us. But there are some avoidless defects, such as, for asymmetry density data the effect is unsatisfactory. This paper introduce a new automatic density cluster algorithm, it brings the neighborhood radius on behalf of the density, then it abandons "minPts", so change the way to grabble clusters, the Clustering Results have a phanerous improvement.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/21740
专题数字工厂研究室
通讯作者Zhang T(张涛)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning Province Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Network Control System, Chinese Academy of Sciences, Liaoning Province Shenyang, China
推荐引用方式
GB/T 7714
Zhang T,Liu C,Zhou XF,et al. A new Automatic Density Cluster[C]//IEEE PRESS. NEW YORK:IEEE,2017:1539-1543.
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