title: Two Issues about mlpy.dtw package in Python?
body: <p>As a newbie in Dynamic Time Warping (DTW), I find its Python implementation <a href="http://mlpy.sourceforge.net/docs/3.5/dtw.html" rel="nofollow">mlpy.dtw</a> is not documented in a very detailed extend. I have some problems with its return value.</p>
  
  <p>Regarding the returned value <code>dist</code>? I have <strong>two questions</strong>:</p>
  
  <ul>
  <li><strong>Any typo here?</strong> For standard DTW, the document says</li>
  </ul>
  
  <blockquote>
    <p>Standard DTW as described in [Muller07], using the <strong>Euclidean distance
    (absolute value of the difference)</strong> or squared Euclidean distance (as
    in [Keogh01]) as local cost measure.</p>
  </blockquote>
  
  <p>and for subsequence DTW, the document says</p>
  
  <blockquote>
    <p>Subsequence DTW as described in [Muller07], assuming that the length
    of y is much larger than the length of x and using the <strong>Manhattan
    distance (absolute value of the difference)</strong> as local cost measure.</p>
  </blockquote>
  
  <p>The same so-called "absolute value of the difference" corresponds two different distance metrics?</p>
  
  <ul>
  <li><p><strong>Total distance?</strong> After running the snippet</p>
  
  <p>dist, cost, path = mlpy.dtw_std(x, y, dist_only=False)</p></li>
  </ul>
  
  <p><code>dist</code> is one value. <strong>So is it the lumped sum of all the distances between each matched pair?</strong></p>