title: it is possible determinant of matrix(256*256) be infinite
body: <p>i have (256*1) vectors of feature come from (16*16) of gray images. number of vectors is 550
  when i compute Sample covariance of this vectors and compute covariance matrix determinant 
  answer is inf</p>
  
  <p>it is possible determinant of finite matrix with finite range (0:255) value be infinite or i mistake some where?</p>
  
  <p>in fact i want classification with bayesian estimation , my distribution is gaussian and when
  i compute determinant be inf and ultimate Answer(likelihood) is zero . </p>
  
  <p>some part of my code:</p>
  
  <pre><code>Mean =  mean(dataSet,2);
  MeanMatrix = Mean*ones(1,NoC);
  Xc = double(dataSet)-MeanMatrix; % transform data to the origine
  Sigma = (1/NoC) *Xc*Xc'; % calculate sample covariance matrix 
  Parameters(i).M = Mean';
  Parameters(i).C = Sigma;
  
  likelihoods(i) = (1/(2*pi*sqrt(det(params(i).C)))) * (exp(-0.5 * (double(X)-params(i).M)' * inv(params(i).C) * (double(X)-params(i).M)));
  </code></pre>
  
  <p>variable i show my classes;
  variable X show my feature vector;</p>