RSDA (version 2.0.8)

interval.dist: Interval Distance Matrix

Description

Compute a distance matrix from a symbolic interval data matrix.

Usage

interval.dist(sym.data, distance = c('hausdorff', 'centers', 'interscal'), p = 2)

Arguments

sym.data

Symbolic data matrix with the variables of interval type.

distance

The distance to be use.

p

The p in the Hausdorff distance :

$$d(w_{u_1},w_{u_2}) = \left( \sum_{j=1}^m \Phi_j(w_{u_1},w_{u_2})^p \right)^{1/p}$$

Value

Return a R distance triangular matrix.

References

Groenen, P.J.F., Winsberg, S., Rodriguez, O., Diday, E. (2006). I-Scal: Multidimensional scaling of interval dissimilarities. Computational Statistics and Data Analysis, 51, 360-378.

Billard L. and Diday E. (2006). Symbolic data analysis: Conceptual statistics and data mining. Wiley, Chichester.

Examples

# NOT RUN {
data(VeterinaryData)
VD <- VeterinaryData
interval.dist(VD)
interval.dist(VD,distance='centers')
# }