2 papers
cs.LG2024
Hierarchical Multiple Kernel K-Means Algorithm Based on Sparse Connectivity
Lei Wang, Liang Du, Peng Zhou
Multiple kernel learning (MKL) aims to find an optimal, consistent kernel function. In the hierarchical multiple kernel clustering (HMKC) algorithm, sample features are extracted l…
cs.LG2024
Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning
Lei Wang, Liang Du, Peng Zhou +1
A symmetric nonnegative matrix factorization algorithm based on self-paced learning was proposed to improve the clustering performance of the model. It could make the model better…