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A ClusteringFunctionSettings object is a subclass of MiningFunctionSettings that supports features unique to clustering algorithms,
such as self-organizing map and k-means.
Superclasses
MiningFunctionSettings
Attributes
maxNumberOfClusters
This attribute specifies the maximum number of clusters the clustering algorithm should
generate.type:multiplicity:minClusterSize |
|||||
| Integer | |||||
| exactly one | |||||
This attribute specifies the minimum number of records (cases) that must be present in a cluster to establish a cluster. The
default value is 1. type: Integer multiplicity: exactly one
aggregationFunction
This specifies the type of the aggregation function.
type: AggregationFunction (euclidian | squaredEuclidian | chebychev | cityBlock | minkovski | simpleMatching | jaccard | tanimoto
| binarySimilarity)
multiplicity: exactly one