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RandIndex {MixSim}

Rand's Index
Package: 
MixSim
Version: 
1.0-9

Description

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

Usage

RandIndex(id1, id2)

Arguments

id1
first partitioning vector.
id2
second partitioning vector.

Values

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

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)

Author(s)

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

Documentation reproduced from package MixSim, version 1.0-9. License: GPL (>= 2)