title: k means clustering on matrix
body: <p>I am trying to cluster a Multidimensional Functional Object with the "kmeans" algorithms. What does it mean: So I don't have anymore a vector per each row or Individual, even more a 3x3 observation matrix per each Individual.For example: Individual = 1 has the following observations:</p>
  
  <p>(x1, x2, x3),(y1,y2,y3),(z1,z2,z3).</p>
  
  <p>The same structure of observations is also given for the other Individuals. So do you know how I can cluster with "kmeans" including all 3 observation vectors -and not only one observation vector how it is normal used for "kmeans" clustering? 
  Would you do it for each observation vector, f.e. (x1, x2, x3), separately and then combine the Information somehow together? I want to do this with the <code>kmeans()</code> Function in R.</p>
  
  <p>Many thanks for your answers!</p>