This is a sample implementation code for VCSDFS (Unsupervised Feature Selection Based on Variance-Covariance Subspace Distance).
please cite the following reference:
Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, Sahar Vahdati, Unsupervised feature selection based on variance-covariance subspace distance, Neural Networks, 2023, https://doi.org/10.1016/j.neunet.2023.06.018.
MATLAB
Run VCSDFS.m with MATLAB.
@article{KARAMI2023, title = {Unsupervised feature selection based on variance-covariance subspace distance}, journal = {Neural Networks}, year = {2023}, issn = {0893-6080}, doi = {https://doi.org/10.1016/j.neunet.2023.06.018}, url = {https://www.sciencedirect.com/science/article/pii/S0893608023003295}, author = {Saeed Karami and Farid Saberi-Movahed and Prayag Tiwari and Pekka Marttinen and Sahar Vahdati}, keywords = {Feature selection, Subspace distance, Subspace learning, Regularization}}