title: Mclust: Order of input parameters affecting clustering results
body: <p>I am using <code>mclust</code> to see various clusters in my data set using various numbers of input (X,Y,Z,R, and S in the script below):</p>
  
  <p>e.g.</p>
  
  <pre><code>elements&lt;-cbind(X,Y,Z,R,S)
  dataclust&lt;-Mclust(elements)
  </code></pre>
  
  <p>I just find out that the order of the input parameters matters and affect the results;
  in other words <code>elements &lt;- cbind(X,Y,Z,R,S)</code> gives a different clusters than say <code>elements-&lt;cbind(Y,Z,X,R,S)</code>. 
  My understanding is that all the input parameters have the same weight and importance in the clustering analysis. am I wrong or is it a bug?</p>
  
  <p>I have seen that in R 2.15.3 and 2 other R versions. </p>
  
  <p>Any comment on or explanation of the above is appreciated. </p>