mrand: Adjusted Rand Index

In drclust: Simultaneous Clustering and (or) Dimensionality Reduction

Adjusted Rand Index

Description

Performs the Adjusted Rand Index on a confusion matrix (row-by-column product of two partition-matrices). ARI is a measure of the similarity between two data clusterings.

Usage

mrand(N)

Arguments

N	Confusion matrix.

Value

mri	Adjusted Rand Index of a confusion matrix (scalar).

Author(s)

Ionel Prunila, Maurizio Vichi

References

Rand W. M. (1971) "Objective criteria for the evaluation of clustering methods" <doi:10.2307/2284239>

Examples

# Iris data 
# Loading the numeric variables of iris data
iris <- as.matrix(iris[,-5]) 

# standardizing the data
iris <- scale(iris)

# double k-means with 3 unit-clusters and 2 components for the variables
p1 <- redkm(iris, K = 3, Q = 2, Rndstart = 10)
p2 <- doublekm(iris, K=3, Q=2, Rndstart = 10)
mri <- mrand(t(p1$U)%*%p2$U)

drclust documentation built on May 29, 2024, 3:51 a.m.