dist.SM: Calculates Sokal-Michener distance measure for nominal...

In clusterSim: Searching for Optimal Clustering Procedure for a Data Set

Calculates Sokal-Michener distance measure for nominal variables

Description

Calculates Sokal-Michener distance measure for nominal variables

Usage

dist.SM(x)

Arguments

x	matrix or data set

Details

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

Value

object with calculated distance

Author(s)

Marek Walesiak [e-mail], Andrzej Dudek [e-mail]

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland

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. 43.

Kaufman, L., Rousseeuw, P.J. (1990), Finding groups in data: an introduction to cluster analysis, Wiley, New York, p. 28. ISBN: 978-0-471-73578-6.

See Also

dist.GDM, dist.BC, dist

Examples

library(clusterSim)
data(data_nominal)
d <- dist.SM(data_nominal)

clusterSim documentation built on Sept. 30, 2024, 9:15 a.m.