Context-Aware Hypergraph Construction for Robust Spectral Clustering

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	Context-Aware Hypergraph Construction for Robust Spectral Clustering
	Li, Xi 1,2; Hu, Weiming1 ; Shen, Chunhua 2; Dick, Anthony 2; Zhang, Zhongfei 3
发表期刊	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
	2014-10-01
卷号	26 期号:10 页码:2588-2597
文章类型	Article
摘要	Spectral clustering is a powerful tool for unsupervised data analysis. In this paper, we propose a context-aware hypergraph similarity measure (CAHSM), which leads to robust spectral clustering in the case of noisy data. We construct three types of hypergraphs-the pairwise hypergraph, the k-nearest-neighbor (kNN) hypergraph, and the high-order over-clustering hypergraph. The pairwise hypergraph captures the pairwise similarity of data points; the kNNhypergraph captures the neighborhood of each point; and the clustering hypergraph encodes high-order contexts within the dataset. By combining the affinity information from these three hypergraphs, the CAHSM algorithm is able to explore the intrinsic topological information of the dataset. Therefore, data clustering using CAHSM tends to be more robust. Considering the intra-cluster compactness and the inter-cluster separability of vertices, we further design a discriminative hypergraph partitioning criterion (DHPC). Using both CAHSM and DHPC, a robust spectral clustering algorithm is developed. Theoretical analysis and experimental evaluation demonstrate the effectiveness and robustness of the proposed algorithm.
关键词	Hypergraph Construction Spectral Clustering Graph Partitioning Similarity Measure
WOS标题词	Science & Technology ; Technology
关键词[WOS]	IMAGE SEGMENTATION ; VIDEO RETRIEVAL
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000342076600019
引用统计	被引频次：40[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3271
专题	多模态人工智能系统全国重点实验室_视频内容安全
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Univ Adelaide, Sch Comp Sci, Adelaide, SA 5005, Australia 3.SUNY Binghamton, Binghamton, NY 13902 USA
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Li, Xi,Hu, Weiming,Shen, Chunhua,et al. Context-Aware Hypergraph Construction for Robust Spectral Clustering[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2014,26(10):2588-2597.
APA	Li, Xi,Hu, Weiming,Shen, Chunhua,Dick, Anthony,&Zhang, Zhongfei.(2014).Context-Aware Hypergraph Construction for Robust Spectral Clustering.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,26(10),2588-2597.
MLA	Li, Xi,et al."Context-Aware Hypergraph Construction for Robust Spectral Clustering".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 26.10(2014):2588-2597.