Enhanced iterative projection for subclass discriminant analysis under EM-alike framework
We focus on the classification of the large sample size problems. We propose a new EM-alike iterative projection approach (EMIPA) for subclass division. Our proposed approach outperforms the traditional MDA and SDA. Our approach operates subclass division and eigenvector seeking class by class. Our proposed approach takes only a bit more time than MDA and SDA.
subclass discriminant analysis em-alike framework linear discriminant analysis larger sample size problems mixture discriminant analysis iterative steps generalized eigenvalue problem k-means clustering