splitTrainClusters {MetaNeighbor} | R Documentation |
This function computes hierarchical clustering to group similar train clusters, using similarity to test clusters as features, then uses a standard tree cutting algorithm to obtain groups of similar clusters. Note that the cluster hierarchy corresponds exactly to the column dendrogram shown when using the plotHeatmapPretrained function.
splitTrainClusters(mn_scores, k)
mn_scores |
An AUROC matrix as generated by MetaNeighborUS, usually with the "trained_model" option. |
k |
The number of desired cluster sets. |
A list of cluster sets, each cluster set is a character vector containg cluster labels.