title: Is there a way on ojAlgo to normalize a Matrix?
body: <p>I am interested to know if there is a way to find a normalized form for a MatrixStore using the ojAlgo matrix library. </p>
  
  <p>Perhaps a routine or a task that once performed on a MatrixStore will cause each of the rows to have a mean of 0 and a standard deviation of 1.</p>
  
  <p>If one is familiar with sklearn, what I'm looking for is some function on ojAlgo that functions similarly like the preprocessing module on sklearn.</p>