Patent ID: 11853387

Abstract:
A data sparse projection method, includes: randomly initializing a high-dimensional sparse two-dimensional matrix (S1); fixing the high-dimensional sparse two-dimensional matrix, and calculating an optimal output variable by using the high-dimensional sparse two-dimensional matrix (S2); fixing the optimal output variable, and calculating an optimal high-dimensional sparse two-dimensional matrix by using the optimal output variable (S3); and cyclically fixing the high-dimensional sparse two-dimensional matrix and the output variable until the optimal output variable is no longer increased when the high-dimensional sparse two-dimensional matrix is fixed (S4). The high-dimensional sparse two-dimensional matrix is optimized continuously in a randomization and iteration manner, so that the high-dimensional sparse two-dimensional matrix is more stable, similarity features of original data are protected better, and the sparsity and binarity of the method allows the method to have a faster calculation speed in practical application.