index.G1 {clusterSim} | R Documentation |
Calculates Calinski-Harabasz pseudo F-statistic
index.G1 (x,cl)
x |
data |
cl |
A vector of integers indicating the cluster to which each object is allocated |
See file $R_HOME\library\clusterSim\pdf\indexG1_details.pdf for further details
Calinski-Harabasz pseudo F-statistic
Marek Walesiak Marek.Walesiak@ae.jgora.pl, Andrzej Dudek Andrzej.Dudek@ae.jgora.pl
Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://www.ae.jgora.pl/keii
Calinski, R.B., Harabasz, J. (1974), A dendrite method for cluster analysis, "Communications in Statistics", vol. 3, 1-27.
Everitt, B.S., Landau, E., Leese, M. (2001), Cluster analysis, Arnold, London, p. 103.
Gatnar, E., Walesiak, M. (Eds.) (2004), Metody statystycznej analizy wielowymiarowej w badaniach marketingowych [Multivariate statistical analysis methods in marketing research], Wydawnictwo AE, Wroclaw, p. 338.
Gordon, A.D. (1999), Classification, Chapman & Hall/CRC, London, p. 62.
Milligan, G.W., Cooper, M.C. (1985), An examination of procedures of determining the number of cluster in a data set, "Psychometrika", vol. 50, no. 2, pp. 159-179.
index.G2
,index.G3
,index.S
,
index.H
,index.KL
,index.Gap
library(clusterSim) data(data_ratio) c<- pam(data_ratio,10) index.G1(data_ratio,c$clustering)