Factor Analysis Algorithm with Mercer Kernel

Nonlinear factor analysis method was studied by Mercer kernel function which can map the data in the original space to a high-dimensional feature space, and a comparison with the related method kernel principle component analysis (KPCA) was made. It is pointed that the best error rate in handwritten... View More