aricode: NID – R documentation

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NID

Normalized information distance (NID)

A function to compute the NID between two classifications

NID(c1, c2)

`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.

a scalar with the normalized information distance .

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

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