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Self-representative manifold concept factorization with adaptive neighbors for clustering
Ma, Sihan1; Zhang, Lefei1; Hu, Wenbin1; Zhang, Yipeng1; Wu, Jia2; Li, Xuelong3
2018
Conference Name27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Source PublicationProceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Volume2018-July
Pages2539-2545
Conference Date2018-07-13
Conference PlaceStockholm, Sweden
PublisherInternational Joint Conferences on Artificial Intelligence
Contribution Rank3
AbstractMatrix Factorization based methods, e.g., the Concept Factorization (CF) and Nonnegative Matrix Factorization (NMF), have been proved to be efficient and effective for data clustering tasks. In recent years, various graph extensions of CF and NMF have been proposed to explore intrinsic geometrical structure of data for the purpose of better clustering performance. However, many methods build the affinity matrix used in the manifold structure directly based on the input data. Therefore, the clustering results are highly sensitive to the input data. To further improve the clustering performance, we propose a novel manifold concept factorization model with adaptive neighbor structure to learn a better affinity matrix and clustering indicator matrix at the same time. Technically, the proposed model constructs the affinity matrix by assigning the adaptive and optimal neighbors to each point based on the local distance of the learned new representation of the original data with itself as a dictionary. Our experimental results present superior performance over the state-of-the-art alternatives on numerous datasets. © 2018 International Joint Conferences on Artificial Intelligence. All right reserved.
Department光学影像学习与分析中心
Indexed ByEI
ISBN9780999241127
Language英语
ISSN10450823
EI Accession Number20184406016257
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30698
Collection光学影像学习与分析中心
Corresponding AuthorZhang, Lefei
Affiliation1.School of Computer, Wuhan University, United Kingdom;
2.Department of Computing, Macquarie University, United Kingdom;
3.Center for OPTIMAL, Xi'an Institute of Optics and Precision Mechanics, CAS, United Kingdom
Recommended Citation
GB/T 7714
Ma, Sihan,Zhang, Lefei,Hu, Wenbin,et al. Self-representative manifold concept factorization with adaptive neighbors for clustering[C]:International Joint Conferences on Artificial Intelligence,2018:2539-2545.
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