GenRatStarts

Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.

Jeffrey Durieux

CICA

Clusterwise Independent Component Analysis

GenRatStarts function

<dl><dt>DataList</dt>
<dd>DataList</dd>
<dt>RatStarts</dt>
<dd>Type of rational start</dd>
<dt>nComp</dt>
<dd>number of components</dd>
<dt>nClus</dt>
<dd>number of clusters</dd>
<dt>scalevalue</dt>
<dd>value for blockscaling procedure</dd>
<dt>center</dt>
<dd>center</dd>
<dt>verbose</dt>
<dd>verbose</dd>
<dt>pseudo</dt>
<dd>percentage used for perturbation rational starts (between 0)</dd>
<dt>pseudoFac</dt>
<dd>multiplication factor for pseudo rational starts</dd></dl>

Arguments

Title — GenRatStarts

<dl>

<dt>DataList</dt>
<dd>DataList</dd>


<dt>RatStarts</dt>
<dd>Type of rational start</dd>


<dt>nComp</dt>
<dd>number of components</dd>


<dt>nClus</dt>
<dd>number of clusters</dd>


<dt>scalevalue</dt>
<dd>value for blockscaling procedure</dd>


<dt>center</dt>
<dd>center</dd>


<dt>verbose</dt>
<dd>verbose</dd>


<dt>pseudo</dt>
<dd>percentage used for perturbation rational starts (between 0)</dd>


<dt>pseudoFac</dt>
<dd>multiplication factor for pseudo rational starts</dd>

</dl>

GenRatStarts: Title

Description

Usage

Value

Arguments