CriterionFunction

is an option in functions such as ClusterClassify that specifies the criterion to use to select a method.

Details

In the case of ClusterClassify, possible settings for CriterionFunction include:

	"StandardDeviation"	root-mean-square standard deviation
	"RSquared"	R-squared
	"Dunn"	Dunn index
	"CalinskiHarabasz"	Calinski–Harabasz index
	"DaviesBouldin"	Davies–Bouldin index
	"Silhouette"	Silhouette score
	Automatic	internal index

Examples

Define two nested point clusters:

Wolfram Language code:

data = {...};
ListPlot[data]

Construct a classifier function using the Automatic CriterionFunction:

Wolfram Language code: c = ClusterClassify[data, 2]

Construct a classifier function using the "RSquared" index as CriterionFunction:

Wolfram Language code: d = ClusterClassify[data, 2, CriterionFunction -> "RSquared"]

Compare the two clustering of the data:

Wolfram Language code: {ListPlot[GatherBy[data, c]], ListPlot[GatherBy[data, d]]}

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