4 papers
Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
Feijiang Li, Zhenxiong Li, Jieting Wang +3
Image clustering aims to partition unlabeled image datasets into distinct groups. A core aspect of this task is constructing and leveraging prior knowledge to guide the clustering…
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…
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…
Multiple kernel concept factorization algorithm based on global fusion
Fei Li, Liang Du, Chaohong Ren
Non-negative Matrix Factorization(NMF) algorithm can only be used to find low rank approximation of original non-negative data while Concept Factorization(CF) algorithm extends mat…