Structured sparse K-means clustering via Laplacian smoothing
文献类型：期刊论文
| 作者 | Gong, Weikang1,3; Grunewald, Stefan1; Zhao, Renbo2; , |
| 刊名 | PATTERN RECOGNITION LETTERS
 |
| 出版日期 | 2018 |
| 卷号 | 112期号:-页码:63-69 |
| 关键词 | Structured sparse clustering K-means clustering Feature selection Graph Laplacian smoothing |
| ISSN号 | 0167-8655 |
| DOI | 10.1016/j.patrec.2018.06.006 |
| 文献子类 | Article |
| 英文摘要 | We propose a structured sparse K-means clustering algorithm that learns the cluster assignments and feature weights simultaneously. Compared to previous approaches, including K-means in MacQueen [28] and sparse K-means in Witten and Tibshirani [46], our method exploits the correlation information among features via the Laplacian smoothing technique, so as to achieve superior clustering accuracy. At the same time, the relevant features learned by our method are more structured, hence have better interpretability. The practical benefits of our method are demonstrated through extensive experiments on gene expression data and face images. (C) 2018 Elsevier B.V. All rights reserved. |
| 学科主题 | Computer Science |
| WOS关键词 | VARIABLE SELECTION ; DATA SETS ; PREDICTION ; NUMBER ; VALIDATION ; DISCOVERY ; FRAMEWORK |
| 语种 | 英语 |
| WOS记录号 | WOS:000443950800009 |
| 出版者 | ELSEVIER SCIENCE BV |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/506]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Computat Biol, CAS MPG Partner Inst Computat Biol, Shanghai Inst Biol Sci, Shanghai, Peoples R China; 2.Natl Univ Singapore, Dept Ind Syst Engn & Management, Singapore, Singapore, 3.Univ Chinese Acad Sci, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Gong, Weikang,Grunewald, Stefan,Zhao, Renbo,et al. Structured sparse K-means clustering via Laplacian smoothing[J]. PATTERN RECOGNITION LETTERS,2018,112(-):63-69. |
| APA | Gong, Weikang,Grunewald, Stefan,Zhao, Renbo,&,.(2018).Structured sparse K-means clustering via Laplacian smoothing.PATTERN RECOGNITION LETTERS,112(-),63-69. |
| MLA | Gong, Weikang,et al."Structured sparse K-means clustering via Laplacian smoothing".PATTERN RECOGNITION LETTERS 112.-(2018):63-69. |
入库方式： OAI收割
来源：上海营养与健康研究所
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