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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

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…

cs.LG2024

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…

cs.LG2024

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-…

cs.LG2024

Fast Asymmetric Factorization for Large Scale Multiple Kernel Clustering

Yan Chen, Liang Du, Lei Duan

Kernel methods are extensively employed for nonlinear data clustering, yet their effectiveness heavily relies on selecting suitable kernels and associated parameters, posing challe…