index.G3 {clusterSim}R Documentation

Calculates G3 internal cluster quality index

Description

Calculates G3 Hubert & Levine internal cluster quality index

Usage

index.G3(d,cl)

Arguments

d 'dist' object
cl A vector of integers indicating the cluster to which each object is allocated

Details

See file $R_HOME\library\clusterSim\pdf\indexG3_details.pdf for further details

Value

calculated G3 index

Author(s)

Marek Walesiak Marek.Walesiak@ae.jgora.pl, Andrzej Dudek Andrzej.Dudek@ae.jgora.pl

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://www.ae.jgora.pl/keii

References

Gatnar, E., Walesiak, M. (Eds.) (2004), Metody statystycznej analizy wielowymiarowej w badaniach marketingowych [Multivariate statistical analysis methods in marketing research], Wydawnictwo AE, Wroclaw, p. 339.

Gordon, A.D. (1999), Classification, Chapman & Hall/CRC, London, p. 62.

Milligan, G.W., Cooper, M.C. (1985), An examination of procedures of determining the number of cluster in a data set, "Psychometrika", vol. 50, no. 2, pp. 159-179.

See Also

index.G1, index.G2, index.S, index.H, index.KL, index.Gap

Examples

library(clusterSim)
data(data_ratio)
d <- dist.GDM(data_ratio)
c <- pam(d, 5, diss = TRUE)
icq <- index.G3(d,c$clustering)
print(icq)

[Package clusterSim version 0.33-1 Index]