A novel density peaks clustering with sensitivity of local density and density-adaptive metric
文献类型：期刊论文
| 作者 | Shi, Zhongzhi2; Du, Mingjing3; Ding, Shifei2,3; Xue, Yu1 |
| 刊名 | KNOWLEDGE AND INFORMATION SYSTEMS
 |
| 出版日期 | 2019-05-01 |
| 卷号 | 59期号:2页码:285-309 |
| 关键词 | Clustering analysis Density peaks clustering Sensitivity of local density Density-adaptive distance |
| ISSN号 | 0219-1377 |
| DOI | 10.1007/s10115-018-1189-7 |
| 英文摘要 | The density peaks (DP) clustering approach is a novel density-based clustering algorithm. On the basis of the prior assumption of consistency for semi-supervised learning problems, we further make the assumptions of consistency for density-based clustering. The first one is the assumption of the local consistency, which means nearby points are likely to have the similar local density; the second one is the assumption of the global consistency, which means points on the same high-density area (or the same structure, i.e., the same cluster) are likely to have the same label. According to the first assumption, we provide a new option based on the sensitivity of the local density for the local density. In addition, we redefine and redesign the assignation strategy based on a new density-adaptive metric according to the second assumption. We compare the performance of our algorithm with traditional clustering schemes, including DP, K-means, fuzzy C-means, Gaussian mixture model, and self-organizing maps. Experiments on different benchmark data sets demonstrate the effectiveness of the proposed algorithm. |
| 资助项目 | National Natural Science Foundation of China[61672522] ; National Natural Science Foundation of China[61379101] ; National Key Basic Research Program of China[2013CB329502] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000461572500002 |
| 出版者 | SPRINGER LONDON LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/4159]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Ding, Shifei |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100090, Peoples R China 3.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Zhongzhi,Du, Mingjing,Ding, Shifei,et al. A novel density peaks clustering with sensitivity of local density and density-adaptive metric[J]. KNOWLEDGE AND INFORMATION SYSTEMS,2019,59(2):285-309. |
| APA | Shi, Zhongzhi,Du, Mingjing,Ding, Shifei,&Xue, Yu.(2019).A novel density peaks clustering with sensitivity of local density and density-adaptive metric.KNOWLEDGE AND INFORMATION SYSTEMS,59(2),285-309. |
| MLA | Shi, Zhongzhi,et al."A novel density peaks clustering with sensitivity of local density and density-adaptive metric".KNOWLEDGE AND INFORMATION SYSTEMS 59.2(2019):285-309. |
入库方式： OAI收割
来源：计算技术研究所
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