ARI {bikm1}

ARI function for agreement between two partitions

Description

Produce a measure of agreement between two partitions. A value of 1 means a perfect match.

Usage

ARI(v,vprime)

Arguments

v

numeric vector specifying the class of observations.

vprime

numeric vector specifying another partitions of observations.

Value

a list including the arguments:

ari: value of the index.

nv: contingency table which the index is based on.

References

Hubert and Arabie. Comparing partitions. Journal of classification (1985).

Examples

require(bikm1)
J=200
K=120
h=3
l=2
theta=list()
theta$rho_h=1/h *matrix(1,h,1)
theta$tau_l=1/l *matrix(1,l,1)
theta$gamma_hl=matrix(c(1, 6,4, 1, 7, 1),ncol=2)
data=PoissonBlocRnd(J,K,theta)
res=BIKM1_LBM_Poisson(data$x,4,4,4,init_choice='random')
mv=ARI(res@model_max$v, data$xrow)
mv$ari
mv$nv
mw=ARI(res@model_max$w, data$xcol)