332 citations · 410 across the 10 of their papers we have counts for
10 papers
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization
Rui Wang, Jing Li, Quanxue Gao +1
The clustering method based on the anchor graph has gained significant attention due to its exceptional clustering performance and ability to process large-scale data. One common a…
One-Step Multi-View Clustering Based on Transition Probability
Wenhui Zhao, Quanxue Gao, Guangfei Li +2
The large-scale multi-view clustering algorithms, based on the anchor graph, have shown promising performance and efficiency and have been extensively explored in recent years. Des…
Label Learning Method Based on Tensor Projection
Jing Li, Quanxue Gao, Qianqian Wang +2
Multi-view clustering method based on anchor graph has been widely concerned due to its high efficiency and effectiveness. In order to avoid post-processing, most of the existing a…
Anchor-free Clustering based on Anchor Graph Factorization
Shikun Mei, Fangfang Li, Quanxue Gao +1
Anchor-based methods are a pivotal approach in handling clustering of large-scale data. However, these methods typically entail two distinct stages: selecting anchor points and con…
Rethinking k-means from manifold learning perspective
Quanxue Gao, Qianqian Wang, Han Lu +2
Although numerous clustering algorithms have been developed, many existing methods still leverage k-means technique to detect clusters of data points. However, the performance of k…
Multi-View Clustering via Semi-non-negative Tensor Factorization
Jing Li, Quanxue Gao, Qianqian Wang +2
Multi-view clustering (MVC) based on non-negative matrix factorization (NMF) and its variants have received a huge amount of attention in recent years due to their advantages in cl…
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia, Quanxue Gao, Ming Yang +1
Attributed graph clustering, which learns node representation from node attribute and topological graph for clustering, is a fundamental but challenging task for graph analysis. Re…
Effective and Efficient Graph Learning for Multi-view Clustering
Quanxue Gao, Wei Xia, Xinbo Gao +3
Despite the impressive clustering performance and efficiency in characterizing both the relationship between data and cluster structure, existing graph-based multi-view clustering…
Multiple Graph Learning for Scalable Multi-view Clustering
Tianyu Jiang, Quanxue Gao, Xinbo Gao
Graph-based multi-view clustering has become an active topic due to the efficiency in characterizing both the complex structure and relationship between multimedia data. However, e…
Generative Partial Multi-View Clustering
Qianqian Wang, Zhengming Ding, Zhiqiang Tao +2
Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have received increasing research att…