splitClusters {MetaNeighbor} | R Documentation

## Split clusters according to symmetric AUROC similarity.

### Description

This function computes hierarchical clustering to group similar clusters, interpreting the AUROC matrix as a similarity matrix, then uses a standard tree cutting algorithm to obtain groups of similar clusters. Note that the cluster hierarchy corresponds exactly to the dendrogram shown when using the plotHeatmap function.

### Usage

    splitClusters(mn_scores, k)

### Arguments

`mn_scores` | A symmetric AUROC matrix as generated by MetaNeighborUS.
`k` | The number of desired cluster sets.

### Value

A list of cluster sets, each cluster set is a character vector containg cluster labels.

### See Also

`plotHeatmap`

[Package MetaNeighbor version 1.14.0 Index]