Blind identification of the underdetermined mixing matrix based on K-weighted hyperline clustering
We propose a discriminatory clustering algorithm for hyperline identification. A weighting scheme is employed for the discriminatory clustering. The proposed method is suitable for the multiple dominant SCA problem.
sparse component analysis (sca) underdetermined mixtures k-means clustering principle component analysis (pca) weight factor