consensus_matrix {SC3} | R Documentation

## Calculate consensus matrix

### Description

Consensus matrix is calculated using the Cluster-based Similarity Partitioning Algorithm (CSPA). For each clustering solution a binary similarity matrix is constructed from the corresponding cell labels: if two cells belong to the same cluster, their similarity is 1, otherwise the similarity is 0. A consensus matrix is calculated by averaging all similarity matrices.

### Usage

    consensus_matrix(clusts)

### Arguments

`clusts` | a matrix containing clustering solutions in columns

### Value

consensus matrix

[Package SC3 version 1.15.1 Index]