remove space
Count the number of point which belongs to i-th centroid
Compute centroids
Compute recovered data by projecting them back onto the original high dimensional space
Compute eigenvector and standard deviation of the covariant matrix of the data (sigma)
Reduce the feature dimension of dataset by projecting each example onto a lower dimensional space
Ignore ex7_pca.m and ml_login_data.mat