1 citations · 2 across the 4 of their papers we have counts for
4 papers
Self-Supervised Graph Embedding Clustering
Fangfang Li, Quanxue Gao, Cheng Deng +1
The K-means one-step dimensionality reduction clustering method has made some progress in addressing the curse of dimensionality in clustering tasks. However, it combines the K-mea…
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…
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…