R: Discriminant coordinates/canonical variates of tclust objects

discr_coords {tclust} | R Documentation

## Discriminant coordinates/canonical variates of tclust objects

### Description

Computes the two first discriminant coordinates (canonical coordinates) directly from a `tclust` object to obtain a graphical representations of cluster solutions in higher dimensional (p > 2) cases.

### Usage

     discr_coords(x, equal.weights)

### Arguments

`x` | A `tclust` object.
`equal.weights` | A logical value, controlling whether the clusters should be considered as equal-sized (`TRUE`) when combining their covariance structures, or if their actual size shall be considered (`FALSE`). By default value `x$par$equal.weights` is assumed

.

### Details

The functionality of `discr_coords` is directly derived from `discrcoord` as implemented in the package "fpc" by Christian Hennig. It has been adopted in order to directly use the covariance information contained in the `tclust`-object. The function fails, if "`store.x = FALSE`" is specified in `tclust`, because the original data matrix is required here.

### Value

A two-dimensional matrix, containing the canonical coordinates of all observations given by the `tclust`-object.

### Author(s)

Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz

### References

Hennig, C. and Christlieb, N. (2002), "Validating visual clusters in large datasets: fixed point clusters of spectral features.", Computational Statistics and Data Analysis Vol.40, 723-739.

[Package tclust version 1.3-1 Index]