1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation
Yunhui Liang, Jianwen Gan, Yan Chen +2
Aiming at the problem that existing methods could not fully capture the intrinsic structure of data without considering the higher-order neighborhood information of the data, we pr…
Clustering ensemble algorithm with high-order consistency learning
Jianwen Gan, Yan Chen, Peng Zhou +1
Most of the research on clustering ensemble focuses on designing practical consistency learning algorithms.To solve the problems that the quality of base clusters varies and the lo…
Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking
Yunhui Liang, Jianwen Gan, Yan Chen +2
High-dimensional data is commonly encountered in numerous data analysis tasks. Feature selection techniques aim to identify the most representative features from the original high-…