4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
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…
cs.LG2023
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…
cs.LG2023★ 4 cited
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…