vgeo: Geometric Variability

In ICGE: Estimation of Number of Clusters and Identification of Atypical Units

Geometric Variability

Description

Assume that n units are divided into k groups C1,...,Ck. The function calculates the geometrical variability for each group in data.

Usage

vgeo(d, pert = "onegroup")

Arguments

d	a distance matrix or a dist object with distance information between units.
pert	an n-vector that indicates which group each unit belongs to. Note that the expected values of pert are numbers greater than or equal to 1 (for instance 1,2,3,4..., k). The default value indicates there is only one group in data.

Value

It is a matrix containing the geometric variability for each group.

Author(s)

Itziar Irigoien [e-mail]; Konputazio Zientziak eta Adimen Artifiziala, Euskal Herriko Unibertsitatea (UPV/EHU), Donostia, Spain.

Conchita Arenas [e-mail]; Departament d'Estadistica, Universitat de Barcelona, Barcelona, Spain.

References

Arenas, C. and Cuadras, C.M. (2002). Some recent statistical methods based on distances. Contributions to Science, 2, 183–191.

Cuadras, C.M. (1992). Some examples of distance based discrimination. Biometrical Letters, 29(1), 3–20.

See Also

deltas, proxi

Examples

data(iris)
d <- dist(iris[,1:4])
vgeo(d,iris[,5])

ICGE documentation built on Oct. 17, 2022, 5:10 p.m.