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ARI

Adjusted Rand Index.

Description

Compares two classifications using the adjusted Rand index (ARI).

Usage

ARI(x=NULL, y=NULL)

Arguments

x

A n dimensional vector of class labels.

y

A n dimensional vector of class labels. .

Details

The ARI has expected value 0 in case of random partition, it is equal to one in case of perfect agreement..

Value

The adjusted Rand index value

Author(s)

Cristina Tortora Maintainer: Cristina Tortora <cristina.tortora@sjsu.edu>

References

L. Hubert and P. Arabie (1985) Comparing Partitions, Journal of the Classification 2:193-218.

Examples

##loading banknote data
data(banknote)

##model estimation
res=MGHD(data=banknote[,2:7],  G=2   )

#result
ARI(res@map, banknote[,1])
MixGHD

Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

v2.3.4
GPL (>= 2)
Authors
Cristina Tortora [aut, cre, cph], Aisha ElSherbiny [com], Ryan P. Browne [aut, cph], Brian C. Franczak [aut, cph], and Paul D. McNicholas [aut, cph], and Donald D. Amos [ctb].
Initial release
2020-12-03

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