2 papers
cs.LG2024
Unsupervised feature selection algorithm framework based on neighborhood interval disturbance fusion
Xiaolin Lv, Liang Du, Peng Zhou +1
Feature selection technology is a key technology of data dimensionality reduction. Becauseof the lack of label information of collected data samples, unsupervised feature selection…
cs.LG2020
Manifold Adaptive Multiple Kernel K-Means for Clustering
Liang Du, Haiying Zhang, Xin Ren +1
Multiple kernel methods based on k-means aims to integrate a group of kernels to improve the performance of kernel k-means clustering. However, we observe that most existing multip…