cluster.threshold

cluster_mass

Calculate contiguous clusters of locations in a 3D array that are
 above some threshold and with some minimum size.

utilities

Utilizing model-based clustering (unsupervised)
for functional magnetic resonance imaging (fMRI) data.
The developed methods (Chen and Maitra (2023) <doi:10.1002/hbm.26425>)
include 2D and 3D clustering analyses
(for p-values with voxel locations) and
segmentation analyses (for p-values alone) for fMRI data where p-values
indicate significant level of activation responding to stimulate
of interesting. The analyses are mainly identifying active
voxel/signal associated with normal brain behaviors.
Analysis pipelines (R scripts) utilizing this package
(see examples in 'inst/workflow/') is also implemented with high
performance techniques.

Wei-Chen Chen

MixfMRI

Mixture fMRI Clustering Analysis

Ranjan Maitra

Dan Nettleton

Pierre Lafaye De Micheaux

Jonathan L Marchini

cluster.threshold function

<dl> <dt>x</dt>
<dd>A 3D array</dd> <dt>nmat</dt>
<dd>A matrix with 3 columns specifying the neighbourhood
 system. Default is 6 nearest neighbours in 3D.</dd> <dt>level.thr</dt>
<dd>The level at which to threshold the array
 values. Default is 0.5 and is designed to cluster 0-1 arrays.</dd> <dt>size.thr</dt>
<dd>The cluster size threshold.</dd></dl>

Arguments

Author

Cluster threshold an array. — cluster.threshold

<dl>

 <dt>x</dt>
<dd>A 3D array</dd>

 <dt>nmat</dt>
<dd>A matrix with 3 columns specifying the neighbourhood
 system. Default is 6 nearest neighbours in 3D.</dd>

 <dt>level.thr</dt>
<dd>The level at which to threshold the array
 values. Default is 0.5 and is designed to cluster 0-1 arrays.</dd>

 <dt>size.thr</dt>
<dd>The cluster size threshold.</dd>

</dl>

cluster.threshold: Cluster threshold an array.

Description

Usage

Value

Arguments

Author

Details

Examples