# mahalconf: Mahalanobis fixed point clusters initial configuration

## Description

Generates an initial configuration of `startn`

points from
dataset `x`

for the `fixmahal`

fixed point iteration.

Thought only for use within `fixmahal`

.

## Usage

mahalconf(x, no, startn, covall, plot)

## Arguments

x

numerical matrix. Rows are points, columns are variables.

no

integer between 1 and `nrow(x)`

. Number of the first
point of the configuration.

startn

integer between 1 and `nrow(x)`

.

covall

covariance matrix for the computation of the first
Mahalanobis distances.

plot

a string. If equal to `"start"`

or `"both"`

,the
first two variables and the first `ncol(x)+1`

points are plotted.

## Value

A logical vector of length `nrow(x)`

.

## Details

`mahalconf`

first chooses the \(p\) (number of variables)
nearest points to point no. `no`

in terms of the Mahalanobis
distance w.r.t. `covall`

, so that there are \(p+1\) points.
In every further step, the covariance
matrix of the current configuration is computed and the nearest point
in terms of the new Mahalanobis distance is
added. `solvecov`

is used to invert singular covariance
matrices.

## Examples

# NOT RUN {
set.seed(4634)
face <- rFace(600,dMoNo=2,dNoEy=0,p=2)
mahalconf(face,no=200,startn=20,covall=cov(face),plot="start")
# }