clustComp: Measures of similarity between two classification

In aricode: Efficient Computations of Standard Clustering Comparison Measures

Measures of similarity between two classification

Description

A function various measures of similarity between two classifications

Usage

clustComp(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 list with the RI, ARI, NMI, NVI and NID.

See Also

RI, NID, NVI, NMI, ARI

Examples

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

aricode documentation built on Oct. 20, 2023, 5:07 p.m.