Yu-Hong Chen

Unsupervised Feature Selection via Self-Supervised HSIC and Elastic Net Regularization

Unsupervised feature selection is essential for high-dimensional data analysis, where irrelevant and redundant variables may obscure the intrinsic data structure, reduce interpretability, and degrade downstream learning performance. The key challenge is to identify informative features without label supervision while s...