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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
会议名称27th International Joint Conference on Artificial Intelligence, IJCAI 2018
会议录名称Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
卷号2018-July
页码2539-2545
会议日期2018-07-13
会议地点Stockholm, Sweden
出版者International Joint Conferences on Artificial Intelligence
产权排序3
摘要Matrix 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.
作者部门光学影像学习与分析中心
收录类别EI
ISBN号9780999241127
语种英语
ISSN号10450823
EI入藏号20184406016257
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30698
专题光学影像学习与分析中心
通讯作者Zhang, Lefei
作者单位1.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
推荐引用方式
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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