Operator SegmentationWithKMean

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.

Parameter

Parameter Object Type optional min_arg max_arg Remarks
TheInputConcept Concept Input no 1 1 inherited
SampleSize Value Input no 1 1 positive integer
HowManyPartitions Value Input no 1 1 positive integer
OptimizePartitionsNum Value Input no 1 1 one of these values: TRUE or FALSE
ThePredictingAttributes BaseAttribute Input no 1  
TheOutputConcept Concept Output no 1 1 inherited