Synopsis
Delivers a performance based on cluster densities.
Description
This operator is used to evaluate a non-hierarchical cluster model based on the average within cluster similarity/distance. It is computed by averaging all similarities / distances between each pair of examples of a cluster.
Input
- example set: expects: ExampleSet
- distance measure: expects: SimilarityMeasureObject
- performance vector:
- cluster model: expects: ClusterModel
Output
- example set:
- performance vector: