aricode (version 0.1.1)

ARI: Adjusted Rand Index

Description

A function to compute the adjusted rand index between two classifications

Usage

ARI(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

RI, NID, NVI, NMI, clustComp

Examples

# NOT RUN {
data(iris)
cl <- cutree(hclust(dist(iris[,-5])), 4)
ARI(cl,iris$Species)
# }