title: Eigenfaces Comlex number Eigenvalues
body: <p>When I calculate Covariance  (A_Transposed * A) and Calculate the eigenvalues and eigenvectors I always get ONE very small eigenval
  Here I have 3 images in my training set. </p>
  
  <p>-0.0000000242 
  17221292.9979712702 
  11732978.3353619855 </p>
  
  <p>This first unsorted eigenval is super small.
  When I do SVD on these Eigenvectors I need to do eigenValues[i]^(-0.5) at some point to get the desired eigenvectors (Initial eigenvectors are smaller in length since I did (A_Transposed * A) instead of ( A * A_Transposed )).</p>
  
  <p>Long storyshort, the smallest eigenval turns out to be a complex number when I do Math.pow(eval_i,-0.5). 
  So do I suppose to use comlex eigensolver ?
  Is such a small number normal ?
  The other eigenvalues look huge, is that normal?</p>
  
  <p>I have followed <a href="http://jmcspot.com/Eigenface/" rel="nofollow">this</a></p>
  
  <p>Thanks</p>