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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
Conference Name27th ACM International Conference on Information and Knowledge Management, CIKM 2018
Source PublicationCIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management
Pages1567-1570
Conference Date2018-10-22
Conference PlaceTorino, Italy
PublisherAssociation for Computing Machinery
Contribution Rank2
Abstract

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.

Department光学影像学习与分析中心
DOI10.1145/3269206.3269237
Indexed ByEI
ISBN9781450360142
Language英语
EI Accession Number20185006229418
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30870
Collection光学影像学习与分析中心
Affiliation1.Northwestern Polytechnical University, China;
2.Center for OPTical IMagery Analysis and Learning, Xi'an Institute of Optics and Precision Mechanics, China
Recommended Citation
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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