Embedding fuzzy k-means with nonnegative spectral clustering via incorporating side information
文献类型:会议论文
作者 | Guo, Muhan1; Nie, Feiping1; Zhang, Rui1; Li, Xuelong2 |
出版日期 | 2018-10-17 |
会议日期 | 2018-10-22 |
会议地点 | Torino, Italy |
DOI | 10.1145/3269206.3269237 |
页码 | 1567-1570 |
英文摘要 | As one of the most widely used clustering techniques, the fuzzy K-Means (also called FKM or FCM) assigns every data point to each cluster with a certain degree of membership. However, conventional FKM approach relies on the square data fitting term which is not robust to data outliers and ignores the prior information, which leads to unsatisfactory clustering results. In this paper, we present a novel and robust fuzzy K-Means clustering algorithm, namely Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information. The proposed method combines fuzzy K-Means with nonnegative spectral clustering into a unified model, and further takes the advantage of the prior knowledge of data pairs such that the quality of similarity graph is enhanced and the clustering performance is effectively improved. Besides, the l2,1-norm loss function is adopted in the objective function, which achieves better robustness to outliers. Last, experimental results on benchmark datasets verify the effectiveness and superiority of the proposed clustering method. © 2018 Association for Computing Machinery. |
产权排序 | 2 |
会议录 | CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management |
会议录出版者 | Association for Computing Machinery |
语种 | 英语 |
ISBN号 | 9781450360142 |
源URL | [http://ir.opt.ac.cn/handle/181661/30870] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Northwestern Polytechnical University, China; 2.Center for OPTical IMagery Analysis and Learning, Xi'an Institute of Optics and Precision Mechanics, China |
推荐引用方式 GB/T 7714 | Guo, Muhan,Nie, Feiping,Zhang, Rui,et al. Embedding fuzzy k-means with nonnegative spectral clustering via incorporating side information[C]. 见:. Torino, Italy. 2018-10-22. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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