Sparse Reconstructive Evidential Clustering for Multi-View Data

doi:10.1109/JAS.2023.123579

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	Sparse Reconstructive Evidential Clustering for Multi-View Data
	Chaoyu Gong; Yang You
刊名	IEEE/CAA Journal of Automatica Sinica
	2024
卷号	11 期号:2 页码:459-473
关键词	Evidence theory multi-view clustering (MVC) optimization sparse reconstruction
ISSN号	2329-9266
DOI	10.1109/JAS.2023.123579
英文摘要	Although many multi-view clustering (MVC) algorithms with acceptable performances have been presented, to the best of our knowledge, nearly all of them need to be fed with the correct number of clusters. In addition, these existing algorithms create only the hard and fuzzy partitions for multi-view objects, which are often located in highly-overlapping areas of multi-view feature space. The adoption of hard and fuzzy partition ignores the ambiguity and uncertainty in the assignment of objects, likely leading to performance degradation. To address these issues, we propose a novel sparse reconstructive multi-view evidential clustering algorithm (SRMVEC). Based on a sparse reconstructive procedure, SRMVEC learns a shared affinity matrix across views, and maps multi-view objects to a 2-dimensional human-readable chart by calculating 2 newly defined mathematical metrics for each object. From this chart, users can detect the number of clusters and select several objects existing in the dataset as cluster centers. Then, SRMVEC derives a credal partition under the framework of evidence theory, improving the fault tolerance of clustering. Ablation studies show the benefits of adopting the sparse reconstructive procedure and evidence theory. Besides, SRMVEC delivers effectiveness on benchmark datasets by outperforming some state-of-the-art methods.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54555]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Chaoyu Gong,Yang You. Sparse Reconstructive Evidential Clustering for Multi-View Data[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(2):459-473.
APA	Chaoyu Gong,&Yang You.(2024).Sparse Reconstructive Evidential Clustering for Multi-View Data.IEEE/CAA Journal of Automatica Sinica,11(2),459-473.
MLA	Chaoyu Gong,et al."Sparse Reconstructive Evidential Clustering for Multi-View Data".IEEE/CAA Journal of Automatica Sinica 11.2(2024):459-473.