Abstract: Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the irrelevant and unnecessary ones.

It is a challenging task to select the informative features that can maintain the manifold structure in the original feature space. Many unsupervised feature selection methods still suffer the poor ...