calinski_harabasz_score

This function returns the Calinski Harabasz score of a partition (also known as the Variance Ratio Criterion).

Allows one to assess the stability of individual objects, clusters
and whole clustering solutions based on repeated runs of the K-means and K-medoids
partitioning algorithms.

Etienne Lord

ClusterStability

Assessment of Stability of Individual Objects or Clusters in
Partitioning Solutions

calinski_harabasz_score function

<dl> <dt>X</dt>
<dd>the input dataset: either a matrix or a dataframe.</dd>	<dt>labels</dt>
<dd>the partition vector.</dd>
 
</dl>

Arguments

This function returns the Calinski Harabasz score. — calinski_harabasz_score

<dl>

 <dt>X</dt>
<dd>the input dataset: either a matrix or a dataframe.</dd>

	<dt>labels</dt>
<dd>the partition vector.</dd>
 
</dl>

calinski_harabasz_score: This function returns the Calinski Harabasz score.

Description

Usage

Value

Arguments

References

Examples