3 papers
cs.LG2024
Fuzzy K-Means Clustering without Cluster Centroids
Yichen Bao, Han Lu, Quanxue Gao
Fuzzy K-Means clustering is a critical technique in unsupervised data analysis. Unlike traditional hard clustering algorithms such as K-Means, it allows data points to belong to mu…
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.LG2024
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…