MixSim (version 1.0-1)

VarInf: Variation of Information

Description

Computes the variation of information for two classification vectors.

Usage

VarInf(id1, id2)

Arguments

id1

first partitioning vector

id2

second partitioning vector

Value

• {Returns the variation of information. It is equal to 0 if and only if two classification vectors are identical.}

References

Meila, M. (2006) "Comparing clusterings - an information based distance", Journal of Multivariate Analysis, 98, 873-895.

See Also

ClassProp, RandIndex

Examples

id1 <- c(rep(1, 50), rep(2,100))
id2 <- rep(1:3, each = 50)
VarInf(id1, id2)