R: Calculates distance between interval-valued symbolic data

dist.Symbolic {clusterSim} | R Documentation

## Calculates distance between interval-valued symbolic data

### Description

Calculates distance between interval-valued symbolic data for four distance types

### Usage

    dist.Symbolic(data,type="U_2",gamma=0.5,power=2)

### Arguments

`data` | symbolic data
`type` | type of distance used for symbolic interval-valued data U_2 - Ichino and Yaguchi distance M - distance between points given by means of intervals (for interval-values variables), H - Hausdorff distance, S - sum of distances between all corresponding vertices of hyperrectangles given by symbolic objects with interval-valued variables
`gamma` | parameter for calculating Ichino and Yaguchi distance
`power` | parameter for calculating distance: Ichino and Yaguchi distance, Hausdorff 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

Billard, L., Diday, E. (2006), Symbolic data analysis. Conceptual statistics and data mining, Wiley, Chichester. ISBN: 978-0-470-09016-9.

Ichino, M., Yaguchi, H. (1994), Generalized Minkowski metrics for mixed feature type data analysis, "IEEE Transactions on Systems Man and Cybernetics", Vol. 24, Issue 4, 698-708. Http://dx.doi.org/10.1109/21.286391.

### See Also

`symbolicDA::dist.SDA`

### Examples

    library(clusterSim)
    dataSymbolic<-cluster.Gen(numObjects=10,model=5,dataType="s")$data
    print(dist.Symbolic(dataSymbolic))

[Package clusterSim version 0.49-2 Index]