consensus_matrix: Calculate consensus matrix

Description Usage Arguments Value

View source: R/CoreFunctions.R

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

1

Arguments

clusts

a matrix containing clustering solutions in columns

Value

consensus matrix


SC3 documentation built on Nov. 8, 2020, 7:52 p.m.