dist.Symbolic {clusterSim} | R Documentation |
Calculates distance between symbolic interval-valued data for four distance types
dist.Symbolic(data,type="U_2",gamma=0.5,power=2)
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 (q) for calculating Ichino and Yaguchi distance |
See file $R_HOME\library\clusterSim\pdf\distSymbolic_details.pdf for further details
Marek Walesiak marek.walesiak@ue.wroc.pl, Andrzej Dudek andrzej.dudek@ue.wroc.pl
Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://keii.ue.wroc.pl/clusterSim
Billard, L., Diday, E. (2006), Symbolic data analysis. Conceptual statistics and data mining, Wiley, Chichester.
library(clusterSim) dataSymbolic<-cluster.Gen(numObjects=10,model=5,dataType="s")$data print(dist.Symbolic(dataSymbolic))