Re: [Numpy-discussion] confusion about eigenvector

This example assumes that facearray is an ndarray.(like you described in original post ;-) ) It looks like you are using a matrix.

hi Arnar thanks .. a few doubts however 1.when i use say 10 images of 4X3 each u, s, vt = linalg.svd(facearray, 0) i will get vt of shape (10,12) can't i take this as facespace? why do i need to get the transpose? then i can take as eigface_image0= vt[0].reshape(imgwdth,imght) 2.this way (svd) is diff from covariance matrix method. if i am to do it using the later ,how can i get the eigenface image data? thanks for the help D