Provides a non-parametric statistical test to compare clustering structures (ANOCVA)

Documentation for package ‘anocva’ version 0.1.0

anocva	Analysis of cluster variability.
anocvaStats	Calculates ANOVA statistics for original data and bootstrap replicates.
checkClusteringFunction	Verifies if a clustering function was defined. 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	Verifies if the data is normalized in the range 0, 1. If they are not, the normalization is performed and a warning issued.
nClust	Estimates the optimal number of clusters using either Slope or Silhouette criterion. The optimal number of clusters will be verified in the range 2,..., maxClust.
optimalSilhouette	Estimates the optimal number of clusters using the Silhouette criterion when silhouette statistics already exists.
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 function with pam clustering.