Multi-feature weighting neighborhood density clustering

doi:10.1007/s00521-019-04467-4

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 机器人应用与理论组

	Multi-feature weighting neighborhood density clustering
	Xu, Shuliang 4; Feng, Lin 1; Liu, Shenglan 1; Zhou, Jian 4; Qiao, Hong 2,3
刊名	NEURAL COMPUTING & APPLICATIONS
	2020-07-01
卷号	32 期号:13 页码:9545-9565
关键词	Clustering analysis Multi-feature Neighborhood density Rough set Granular computing
ISSN号	0941-0643
DOI	10.1007/s00521-019-04467-4
通讯作者	Feng, Lin(fenglin@dlut.edu.cn)
英文摘要	Clustering is an important data mining method to discover knowledge and patterns. Feature weighting is widely applied in high-dimensional data mining. In this paper, a multi-feature weighting neighborhood density clustering algorithm is proposed. It uses different dimension reduction algorithms to generate different features, and then, the weights of the features are determined by the discrimination ability. For the clustering algorithm, the center points can be selected by the upper approximation set and lower approximation set. At last, the final clustering result is from the fusion of multiple clustering results. The proposed algorithms and comparison algorithms are executed on the synthetic and real-world data sets. The test results show that the proposed algorithm outperforms the comparison algorithms on the most experimental data sets. The experimental results prove that the proposed algorithm is effective for data clustering.
WOS关键词	SUBSPACE ; ALGORITHM
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER LONDON LTD
WOS记录号	WOS:000544784200045
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/40007]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
通讯作者	Feng, Lin
作者单位	1.Dalian Univ Technol, Sch Innovat & Entrepreneurship, Dalian, Peoples R China 2.State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 4.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian, Peoples R China
推荐引用方式 GB/T 7714	Xu, Shuliang,Feng, Lin,Liu, Shenglan,et al. Multi-feature weighting neighborhood density clustering[J]. NEURAL COMPUTING & APPLICATIONS,2020,32(13):9545-9565.
APA	Xu, Shuliang,Feng, Lin,Liu, Shenglan,Zhou, Jian,&Qiao, Hong.(2020).Multi-feature weighting neighborhood density clustering.NEURAL COMPUTING & APPLICATIONS,32(13),9545-9565.
MLA	Xu, Shuliang,et al."Multi-feature weighting neighborhood density clustering".NEURAL COMPUTING & APPLICATIONS 32.13(2020):9545-9565.