R: Cluster heterogeneity of 2-d data

diameter {gclus} | R Documentation

## Cluster heterogeneity of 2-d data

### Description

Computes measures of cluster heterogeneity of 2-d data, where `x` and `y` give the object coordinates.

### Usage

    diameter(x, y, ...)
    star(x, y, ...)
    km2(x,y)
    gtot(x,y, ...)
    gave(x,y, ...)

### Arguments

`x` | is a numeric vector.
`y` | is a numeric vector.
`...` | are passed to `dist`.

### Details

`diameter` computes the cluster diameter- the maximum distance between objects.

`star` computes the cluster star distance- the smallest total distance from one object to another.

`km2` computes the kmeans distance.

`gtot` computes the sum of all inter-object distances.

`gave` computes the per-object average of all inter-object distances.

### Value

The cluster measure is returned.

### Author(s)

Catherine B. Hurley

### References

See Gordon, A. D. (1999).“Classification”. Second Edition. London: Chapman and Hall / CRC

### See Also

`colpairs`, `cpairs`, `order.single`

### Examples

    x <- runif(20)
    y <- runif(20)
    diameter(x,y)

[Package gclus version 1.3.1 Index]