consensus_clustering_weighted: weighted consensus clustering
In pengminshi/MRtree: Multi-resolution Reconciled Tree
consensus_clustering_weighted R Documentation
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.
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| consensus_clustering_weighted | R Documentation |
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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