GenerateRandomClustering

Internal function for CICA package

internal

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

GenerateRandomClustering function

<dl><dt>nElement</dt>
<dd>a positive integer number of elements to be clusterd</dd>
<dt>nClust</dt>
<dd>a positive integer: Number of clusters</dd>
<dt>Prob</dt>
<dd>numeric vector: Portion of elements in each cluster</dd></dl>

Arguments

Generate random clustering — GenerateRandomClustering

<dl>

<dt>nElement</dt>
<dd>a positive integer number of elements to be clusterd</dd>


<dt>nClust</dt>
<dd>a positive integer: Number of clusters</dd>


<dt>Prob</dt>
<dd>numeric vector: Portion of elements in each cluster</dd>

</dl>

GenerateRandomClustering: Generate random clustering

Description

Usage

Value

Arguments