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cs.LG2024
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion
Liang Du, Henghui Jiang, Xiaodong Li +5
Multi-view clustering (MVC) aims to integrate complementary information from multiple views to enhance clustering performance. Late Fusion Multi-View Clustering (LFMVC) has shown p…
cs.LG2024
k-HyperEdge Medoids for Clustering Ensemble
Feijiang Li, Jieting Wang, Liuya zhang +4
Clustering ensemble has been a popular research topic in data science due to its ability to improve the robustness of the single clustering method. Many clustering ensemble methods…
cs.LG2024
Deep Embedding Clustering Driven by Sample Stability
Zhanwen Cheng, Feijiang Li, Jieting Wang +1
Deep clustering methods improve the performance of clustering tasks by jointly optimizing deep representation learning and clustering. While numerous deep clustering algorithms hav…