anocva v0.1.1

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A Non-Parametric Statistical Test to Compare Clustering Structures

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.

Functions in anocva

Name Description
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.
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Details

Type Package
License GPL (>= 3)
LazyLoad Yes
Encoding UTF-8
NeedsCompilation no
Repository CRAN
RoxygenNote 6.0.1
Packaged 2017-11-10 01:54:35 UTC; calebe
Date/Publication 2017-11-10 04:27:50 UTC

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