optimalSlope

silStats

<p>The max number of clusters to be tried.</p>

maxClust

<p>Estimates the optimal number of clusters using the Slope criterion when silhouette statistics already exists.
The optimal number of clusters will be verified in the range 2,..., maxClust.</p>

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.

Maciel Vidal

anocva

A Non-Parametric Statistical Test to Compare Clustering
Structures

optimalSlope function

Estimates the optimal number of clusters using the Slope criterion when silhouette statistics already exists.
The optimal number of clusters will be verified in the range 2,..., maxClust. — optimalSlope

Estimates the optimal number of clusters using the Slope criterion when silhouette statistics already exists.
The optimal number of clusters will be verified in the range 2,..., maxClust.

optimalSlope: Estimates the optimal number of clusters using the Slope criterion when silhouette statistics already exists. The optimal number of clusters will be verified in the range 2,..., maxClust.

Description

Usage

Arguments

Value

References