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anocva (version 0.1.1)

A Non-Parametric Statistical Test to Compare Clustering Structures

Description

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.

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Version

Install

install.packages('anocva')

Monthly Downloads

480

Version

0.1.1

License

GPL (>= 3)

Maintainer

Maciel Vidal

Last Published

November 10th, 2017

Functions in anocva (0.1.1)

anocva

ANalysis Of Cluster VAriability
anocvaStats

Calculates ANOVA statistics for original data and bootstrap replicates.
checkClusteringFunction

Verifies if a clustering function is set. If not, uses the spectral clustering as default clustering method.
checkNClust

If the number of clusters has not been set, estimates it by using Slope criterion in the range 2, 20.
checkRange01

Check for 0,1 Interval Normalization.
nClust

Optimal Number of Clusters Estimation
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.
spectralClustering

Spectral clustering
nClustMulti

Multiple Samples Optimal Number of Clusters Estimation
optimalSilhouette

Estimates the optimal number of clusters using the Silhouette criterion when silhouette statistics already exists.