raw Modified Adjusted Rand Index

Source: R/aricode.R

A function to compute a modified adjusted rand index between two classifications as proposed by Sundqvist et al. in prep, based on a multinomial model. Raw means, that the index is not divided by the (maximum - expected) value.

MARIraw(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 modified ARI without the division by the (maximum - expected)

See also

ARI, NID, NVI, NMI, clustComp

Examples

data(iris)
cl <- cutree(hclust(dist(iris[,-5])), 4)
MARIraw(cl,iris$Species)
#> [1] 0.1279572