index.G2 {clusterSim} | R Documentation |
Calculates G2 internal cluster quality index - Baker & Hubert adaptation of Goodman & Kruskal's Gamma statistic
index.G2(d,cl)
d |
'dist' object |
cl |
A vector of integers indicating the cluster to which each object is allocated |
See file $R_HOME\library\clusterSim\pdf\indexG2_details.pdf for further details
calculated G2 index
Marek Walesiak Marek.Walesiak@ae.jgora.pl, Andrzej Dudek Andrzej.Dudek@ae.jgora.pl
Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://www.ae.jgora.pl/keii
Everitt, B.S., Landau, E., Leese, M. (2001), Cluster analysis, Arnold, London, p. 104.
Gatnar, E., Walesiak, M. (Eds.) (2004), Metody statystycznej analizy wielowymiarowej w badaniach marketingowych [Multivariate statistical analysis methods in marketing research], Wydawnictwo AE, Wroclaw, p. 339.
Gordon, A.D. (1999), Classification, Chapman & Hall/CRC, London, p. 62.
Hubert, L. (1974), Approximate evaluation technique for the single-link and complete-link hierarchical clustering procedures, "Journal of the American Statistical Association", vol. 69, no. 347, 698-704.
Milligan, G.W., Cooper, M.C. (1985), An examination of procedures of determining the number of cluster in a data set, "Psychometrika", vol. 50, no. 2, pp. 159-179.
index.G1
, index.G3
, index.S
, index.H
,
index.KL
, index.Gap
, index.DB
library(clusterSim) data(data_ratio) d <- dist.GDM(data_ratio) c <- pam(d, 5, diss = TRUE) icq <- index.G2(d,c$clustering) print(icq)