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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…
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…