A MultiStep operator (creates several ColumnSets for the output Concept).
The input Concept is segmented according to the clustering method KMeans (an
external learning algorithm). The number of ColumnSets in the output
concept is therefore not known before the application of this operator. However,
the parameter HowManyPartitions specifies a maximum for this number.
The parameter OptimizePartitionNum is a boolean that specifies if this
number should be optimized by the learning algorithm (but it will not exceed
the maximum). The parameter SampleSize gives a maximum number of learning
examples for the external algorithm. The algorithm (KMeans) uses ThePredictingAttributes
for clustering; these attributes must belong to TheInputConcept.
| ParameterName | ObjType | Type | Remarks |
| TheInputConcept | CON | IN | inherited |
| HowManyPartitions | V | IN | positive integer |
| OptimizePartitionNum | V | IN | true or false |
| ThePredictingAttributes | BA List | IN | |
| SampleSize | V | IN | positive integer |
| TheOutputConcept | CON | OUT | inherited |