R: Calculates Sokal-Michener distance measure for nominal...

dist.SM {clusterSim} | R Documentation

## 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 marek.walesiak@ue.wroc.pl, Andrzej Dudek andrzej.dudek@ue.wroc.pl

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://keii.ue.wroc.pl/clusterSim/

### 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. Available at: http://keii.ue.wroc.pl/pracownicy/mw/2004_Gatnar_Walesiak_Metody_SAW_w_badaniach_marketingowych.pdf.

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)

[Package clusterSim version 0.49-2 Index]