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Cluster Count Performance

Synopsis​

This operator creates a performance vector containing the 'Number of clusters' and 'Cluster Number Index' criteria from a cluster model.

Description​

This is a very simple operator. It takes a cluster model as input and returns a performance vector that has the 'Number of clusters' and 'Cluster Number Index' criteria. The 'Number of clusters' criteria contains the number of clusters. The 'Cluster Number Index' criteria builds a derived index from the number of clusters by using the formula 1 - (k / n) with k as thw number of clusters and n as the number of examples. This can be used for optimizing the coverage of a cluster result with respect to the number of clusters. Optionally, a performance vector can be provided as input as well. In that case the 'Number of clusters' and 'Cluster Number Index' criteria are appended to the given performance vector.

Input​

cluster model​

This input port expects a cluster model. It is the output of the Subprocess operator in the attached Example Process.

performance​

This optional port expects a performance vector. A performance vector is a list of performance criteria values.

Output​

cluster model​

The cluster model that was given as input is passed without any modifications to the output through this port. This is usually used to reuse the same cluster model in further operators or to view the cluster model in the Results Workspace.

performance​

The performance vector containing the 'Number of clusters' and 'Cluster Number Index' criteria is returned through this port.