simula.rlg

Simulate alpha*100% contaminated data set for applying rlg by 
 generating a k=3 components with equal size and # 
 common underlying dimension q_1=q_2=q_3=q

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.rlg function

<dl><dt>q</dt>
<dd>intrinsic dimension</dd>
<dt>p</dt>
<dd>dimension (<code>p &gt;= 2</code> and <code>p &gt; q</code>)</dd>
<dt>n</dt>
<dd>number of observations</dd>
<dt>var</dt>
<dd>The smaller 'var' the smaller the scatter around the lower dimensional space</dd>
<dt>sep.means</dt>
<dd>Parameter controlling the location vectors separation</dd>
<dt>alpha</dt>
<dd>contamination level</dd></dl>

Arguments

Simulate contaminated data set for applying rlg — simula.rlg

<dl>

<dt>q</dt>
<dd>intrinsic dimension</dd>


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


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


<dt>var</dt>
<dd>The smaller 'var' the smaller the scatter around the lower dimensional space</dd>


<dt>sep.means</dt>
<dd>Parameter controlling the location vectors separation</dd>


<dt>alpha</dt>
<dd>contamination level</dd>

</dl>

simula.rlg: Simulate contaminated data set for applying rlg

Description

Usage

Value

Arguments

Examples