Consensus Graph Learning for Multi-View Clustering

• Published in: IEEE transactions on multimedia Vol. 24; pp. 2461 - 2472
• Main Authors: Li, Zhenglai, Tang, Chang, Liu, Xinwang, Zheng, Xiao, Zhang, Wei, Zhu, En
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Clustering; Clustering methods; consensus graph learning; Correlation; Embedding; Feature extraction; Machine learning; Mathematical analysis; Multi-view clustering; Optimization; Redundancy; Similarity; Streaming media; Task analysis; Tensors; weighted tensor nuclear norm

Multi-view clustering, which exploits the multi-view information to partition data into their clusters, has attracted intense attention. However, most existing methods directly learn a similarity graph from original multi-view features, which inevitably contain noises and redundancy information. The...