Principal Component Analysis

Principal Component Analysis is the method that calculates from vector data set which has elements of Multivariate to the axis (main axis) which has maximum variance when each vector data is projected into that axis on Multivariate Space, and whose vector distribution is larger (main axis) from set of vector whose consist of multivariates to Multivariate Axis (Multivariate Space).