Description Usage Arguments Value See Also

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.

1 | ```
splitClusters(mn_scores, k)
``` |

`mn_scores` |
A symmetric AUROC matrix as generated by MetaNeighborUS. |

`k` |
The number of desired cluster sets. |

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

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