# vgeo: Geometric Variability In ICGE: Estimation of Number of Clusters and Identification of Atypical Units

 vgeo R Documentation

## 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 itziar.irigoien@ehu.eus; Konputazio Zientziak eta Adimen Artifiziala, Euskal Herriko Unibertsitatea (UPV/EHU), Donostia, Spain.

Conchita Arenas carenas@ub.edu; 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.

`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.