Similarity Preserving Unsupervised Feature Selection based on Sparse Learning

1 code implementation • 10th International Symposium on Telecommunications (IST) 2020 • Hadi Zare, Mohsen Ghassemi Parsa, Mehdi Ghatee, Sasan H. Alizadeh

Various feature selection methods have been recently proposed on different applications to reduce the computational burden of machine learning algorithms as well as the complexity of learned models.

feature selection Sparse Learning