consensus_clustering_weighted: weighted consensus clustering

In pengminshi/MRtree: Multi-resolution Reconciled Tree

weighted consensus clustering

Description

weighted consensus clustering

Usage

consensus_clustering_weighted(labelmat, k = NULL)

Arguments

labelmat	n-by-m sample by clustering label matrix
k	number of clusters for the final consensus clustering

Value

consensus clustering result saved as a label vector (NA is labels missing for all clusterings)

pengminshi/MRtree documentation built on March 6, 2023, 4:20 p.m.