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kernelpca_tutorial
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function data_out = kernelpca_tutorial(data_in,num_dim)
%
% This function does principal component analysis (non-linear) on the given
% data set using the Kernel trick
%
% Data_Out = kernelpca_tutorial(Data_in,Num_Dim)
%
% Data_in - Input data (d (dimensions) X N (# of points)
% Num_Dim - Dimensions of output data. (Num_Dim <= d)
% Data_Out - Output data. (Num_Dim (dimensions) X N (# of points))
%
% Ambarish Jash
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