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clustComp

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

Examples

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

aricode

Efficient Computations of Standard Clustering Comparison Measures

v1.0.0
GPL (>= 3)
Authors
Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Guillem Rigaill [aut], Martina Sundqvist [aut], Valentin Dervieux [ctb]
Initial release

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