The function computes the adjusted Rand index (ARI) which allows to compare two clustering partitions.
Usage
fem.ari(x,y)
Arguments
x
A 'fem' object containing the first partition to compare.
y
The second partition to compare (as vector).
Value
ari
The value of the ARI.
See Also
fem, sfem, plot.fem, summary.fem
Examples
data(iris)
res = fem(iris[,-5],K=2:5,model='AkB')
summary(res)
plot(res)
fem.ari(res,as.numeric(iris[,5]))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(FisherEM)
Loading required package: MASS
Loading required package: elasticnet
Loading required package: lars
Loaded lars 1.2
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/FisherEM/fem.ari.Rd_%03d_medium.png", width=480, height=480)
> ### Name: fem.ari
> ### Title: Adjusted Rand index
> ### Aliases: fem.ari
>
> ### ** Examples
>
> data(iris)
> res = fem(iris[,-5],K=2:5,model='AkB')
> summary(res)
* Model: the chosen model is AkB with K = 4 ( icl = 2501.832 )
* Loading matrix:
U1 U2 U3
Sepal.Length -0.3010876 -0.50241546 0.2799094
Sepal.Width -0.4475662 0.78770792 -0.1466641
Petal.Length 0.6696130 0.02972685 -0.5574864
Petal.Width 0.5105382 0.35526222 0.7676909
> plot(res)
> fem.ari(res,as.numeric(iris[,5]))
[1] 0.8067851
>
>
>
>
>
> dev.off()
null device
1
>
providing 
.
