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Embedding fuzzy k-means with nonnegative spectral clustering via incorporating side information
Guo, Muhan1; Nie, Feiping1; Zhang, Rui1; Li, Xuelong2
2018-10-17
会议名称27th ACM International Conference on Information and Knowledge Management, CIKM 2018
会议录名称CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management
页码1567-1570
会议日期2018-10-22
会议地点Torino, Italy
出版者Association for Computing Machinery
产权排序2
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.

作者部门光学影像学习与分析中心
DOI10.1145/3269206.3269237
收录类别EI
ISBN号9781450360142
语种英语
EI入藏号20185006229418
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30870
专题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]:Association for Computing Machinery,2018:1567-1570.
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