<P> A MultiStep operator (creates several <TT>ColumnSet</TT>s for the output Concept). 
  The input Concept is segmented according to the clustering method KMeans (an 
  external learning algorithm). The number of <TT>ColumnSet</TT>s in the output 
  concept is therefore not known before the application of this operator. However, 
  the parameter <I>HowManyPartitions</I> specifies a maximum for this number. 
  The parameter <I>OptimizePartitionNum</I> is a boolean that specifies if this 
  number should be optimized by the learning algorithm (but it will not exceed 
  the maximum). The parameter <I>SampleSize</I> gives a maximum number of learning 
  examples for the external algorithm. The algorithm (KMeans) uses <I>ThePredictingAttributes</I> 
  for clustering; these attributes must belong to <I>TheInputConcept</I>. <BR>
  <BR>
<P>
PARAMETERDESCRIPTION
TheInputConcept:inherited
HowManyPartitions:positive integer
OptimizePartitionNum:
ThePredictingAttributes:&nbsp;
SampleSize:positive integer
TheOutputConcept:inherited
