A Non-Parametric Statistical Test to Compare Clustering Structures
ANalysis Of Cluster VAriability
Calculates ANOVA statistics for original data and bootstrap replicates...
Verifies if a clustering function is set. If not, uses the spectral cl...
If the number of clusters has not been set, estimates it by using Slop...
Check for 0,1 Interval Normalization.
Optimal Number of Clusters Estimation
Multiple Samples Optimal Number of Clusters Estimation
Estimates the optimal number of clusters using the Silhouette criterio...
Estimates the optimal number of clusters using the Slope criterion whe...
Spectral clustering
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.