SilhouetteEvaluation
              silhouette)Name, Value)A silhouette object to evaluate clustering solutions.
 A SilhouetteEvaluation object is a ClusterCriterion
 object used to evaluate clustering solutions using the silhouette
 criterion.
 List of public properties specific to SilhouetteEvaluation:
 
Distance a valid distance metric name, or a function handle or a numeric array as
 generated by the pdist function.
ClusterPriors a valid name for the evaluation of silhouette values: empirical
 (default) or equal.
ClusterSilhouettesa cell array with the silhouette values of each data point for each cluster number.
The best solution according to the silhouette criterion is the one that scores the highest average silhouette value.
See also: evalclusters, ClusterCriterion, CalinskiHarabaszEvaluation, DaviesBouldinEvaluation, GapEvaluation
Source Code: SilhouetteEvaluation
addK
                  Add a new cluster array to inspect the SilhouetteEvaluation object.
compact
                  Return a compact SilhouetteEvaluation object (not implemented yet).
plot
                  Plot the evaluation results.
Plot the CriterionValues against InspectedK from the SilhouetteEvaluation ClusterCriterion, obj, to the current plot. It can also return a handle to the current plot.