checkNClust

A matrix with n subjects. Each subject has the size of NxN and represents the distances between the elements of the sample.

dataDist

The number of clusters. NULL if it's unknown.

The maximum number of clusters to be tried if estimating optimal number of clusters. The default value is 20.

maxClust

The clustering function that Slope should use.

clusteringFunction

The criterion that will be used for estimating the number of clusters. The options are "slope" or "silhouette". If not defined, "slope" will be used.

criterion

If the number of clusters has not been set, estimates it by using Slope criterion in the range 2, 20.

internal

Provides ANOCVA (ANalysis Of Cluster VAriability), a non-parametric statistical test
to compare clustering structures with applications in functional magnetic resonance imaging
data (fMRI). The ANOCVA allows us to compare the clustering structure of multiple groups
simultaneously and also to identify features that contribute to the differential clustering.

checkNClust: If the number of clusters has not been set, estimates it by using Slope criterion in the range 2, 20.

Description

Usage

Arguments