RandIndex: Rand's Index

In MixSim: Simulating Data to Study Performance of Clustering Algorithms

Rand's Index

Description

Computes Rand, adjusted Rand, Fowlkes and Mallows, and Merkin indices.

Usage

RandIndex(id1, id2)

Arguments

id1	first partitioning vector.
id2	second partitioning vector.

Value

R	Rand's index.
AR	adjusted Rand's index.
F	Fowlkes and Mallows index.
M	Mirkin metric.

Author(s)

Volodymyr Melnykov, Wei-Chen Chen, and Ranjan Maitra.

References

Rand, W.M. (1971) “Objective criteria for the evaluation of clustering methods”, Journal of the American Statistical Association, 66:336, 846-850.

Maitra, R. and Melnykov, V. (2010) “Simulating data to study performance of finite mixture modeling and clustering algorithms”, The Journal of Computational and Graphical Statistics, 2:19, 354-376.

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

Melnykov, V., Chen, W.-C., and Maitra, R. (2012) “MixSim: An R Package for Simulating Data to Study Performance of Clustering Algorithms”, Journal of Statistical Software, 51:12, 1-25.

See Also

MixSim, pdplot, simdataset, ClassProp, and VarInf.

Examples

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

MixSim documentation built on Sept. 8, 2023, 5:07 p.m.