dist.Symbolic: Calculates distance between interval-valued symbolic data

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

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

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

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))

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