|  | ## Cluster Density Performance

#### 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:

#### Parameters

#### ExampleProcess