Before revision:  In this paper, we propose a new feature selection method which uses singular value decomposition of a matrix and }]  the method of least squares to remove the irrelevant features and detect correlations between the remaining features . and remove those features whose weights are smaller than the threshold.
After revision:  In this paper, we propose a new feature selection method which uses singular value decomposition of a matrix and }] be a dataset, where \mathbf{b the method of least squares to remove the irrelevant features and detect correlations between the remaining features . and remove those features whose weights are smaller than the threshold.