Cluster-of-Clusters Analysis
Plot Matrix-Of-Clusters
Plot silhouette
Plot widest gap
Divide data into 5 subsets using stratified sampling
Build Matrix-Of-Clusters
Choose number of clusters based on AUC
Cluster-Of-Clusters Analysis
Compute Area Under the Curve (AUC)
Consensus clustering
Expand matrix of clusters
Fill Matrix-Of-Clusters
Choose K that maximises the silhouette from a set of kernel matrices a...
Plot area under the curve
Plot Dunn's alternative index
Plot Dunn's index
Contains the R functions needed to perform Cluster-Of-Clusters Analysis (COCA) and Consensus Clustering (CC). For further details please see Cabassi and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.