simula.tclust

Simulate 10% contaminated data set for applying TCLUST

Provides functions for robust trimmed clustering. The methods are
described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>,
Fritz et al. (2012) <doi:10.18637/jss.v047.i12>,
Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.

Valentin Todorov

tclust

Robust Trimmed Clustering

Luis Angel García Escudero

Agustín Mayo Iscar

Javier Crespo Guerrero

Heinrich Fritz

simula.tclust function

<dl><dt>n</dt>
<dd>number of observations</dd>
<dt>p</dt>
<dd>dimension (p&gt;=2 and p&gt;q)</dd>
<dt>k</dt>
<dd>number of clusters (only k=3 and k=6 are allowed!!!)</dd>
<dt>type</dt>
<dd>1 (spherical for rest.fact=1) or 2 (elliptical for rest.fact=9^2)</dd>
<dt>balanced</dt>
<dd>1 (all clusters equal size) or 2 [proportions (25,30,35)% if k=3 and (12.5,15,17.5,12.5,15,17.5)% if k=6]</dd></dl>

Arguments

Simulate contaminated data set for applying TCLUST — simula.tclust

<dl>

<dt>n</dt>
<dd>number of observations</dd>


<dt>p</dt>
<dd>dimension (p&gt;=2 and p&gt;q)</dd>


<dt>k</dt>
<dd>number of clusters (only k=3 and k=6 are allowed!!!)</dd>


<dt>type</dt>
<dd>1 (spherical for rest.fact=1) or 2 (elliptical for rest.fact=9^2)</dd>


<dt>balanced</dt>
<dd>1 (all clusters equal size) or 2 [proportions (25,30,35)% if k=3 and (12.5,15,17.5,12.5,15,17.5)% if k=6]</dd>

</dl>

simula.tclust: Simulate contaminated data set for applying TCLUST

Description

Usage

Value

Arguments

Examples