Robust neighborhood embedding for unsupervised feature selection
Knowledge Based Systems, pp. 1054622020.
Abstract Unsupervised feature selection is an efficient approach of dimensionality reduction for alleviating the curse of dimensionality in the countless unlabeled high-dimensional data. In view of the sparseness of the high-dimensional data, we propose a robust neighborhood embedding (RNE) method for unsupervised feature selection. Fir...More
Full Text (Upload PDF)
PPT (Upload PPT)