Multi-feature weighting neighborhood density clustering
文献类型：期刊论文
| 作者 | Xu, Shuliang1; Feng, Lin4; Liu, Shenglan4; Zhou, Jian1; Qiao, Hong2,3
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| 刊名 | NEURAL COMPUTING & APPLICATIONS
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| 出版日期 | 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 |
| WOS记录号 | WOS:000544784200045 |
| 出版者 | SPRINGER LONDON LTD |
| 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, Fac Elect Informat & Elect Engn, 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, Sch Innovat & Entrepreneurship, 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. |
入库方式： OAI收割
来源：自动化研究所
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