AMI {aricode}

Adjusted Mutual Information

Description

A function to compute the adjusted mutual information between two classifications

Usage

AMI(c1, c2)

Arguments

c1

a vector containing the labels of the first classification. Must be a vector of characters, integers, numerics, or a factor, but not a list.

c2

a vector containing the labels of the second classification.

Value

a scalar with the adjusted rand index.

See Also

ARI, RI, NID, NVI, NMI, clustComp

Examples

data(iris)
cl <- cutree(hclust(dist(iris[,-5])), 4)
AMI(cl,iris$Species)