pcaVisualize

 Visualization of quality of approximation of X given principal comp.

 X can either represent a single element (a single image or video), or a
 set of elements. In the latter case, index controls which element of X to
 apply visualization to, if unspecified it is chosen randomly.

 USAGE
  varargout=pcaVisualize(U, mu, vars, X, [index], [ks], [fname], [show])

 INPUTS
  U           - returned by pca.m
  mu          - returned by pca.m
  vars        - returned by pca.m
  X           - Set of images or videos, or a single image or video
  index       - [] controls which element of X to aplply visualization to
  ks          - [] ks values of k for pcaApply (ex. ks=[1 4 8 16])
  fname       - [] if specified outputs avis
  show        - [1] will display in figure(show) and figure(show+1)

 OUTPUTS
  M           - [only if X is a movie] movie of xhats (see pcaapply)
  MDiff       - [only if X is a movie] movie of difference images
  MU          - [only if X is a movie] movie of eigenmovies

 EXAMPLE

 See also PCA, PCAAPPLY

 Piotr's Computer Vision Matlab Toolbox      Version 2.30
 Copyright 2014 Piotr Dollar.  [pdollar-at-gmail.com]
 Licensed under the Simplified BSD License [see external/bsd.txt]