consensus_matrix: Calculate consensus matrix
In brickyyyy/SC3min: Minimized Single-Cell Consensus Clustering
Description
Usage
Arguments
Value
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
consensus_matrix(clusts, k)
Arguments
clusts
a matrix containing clustering solutions in columns
k
umber of clusters
Value
consensus matrix
brickyyyy/SC3min documentation built on May 8, 2019, 8:07 a.m.
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Description Usage Arguments Value
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 | consensus_matrix(clusts, k)
|
Arguments
clusts |
a matrix containing clustering solutions in columns |
k |
umber of clusters |
Value
consensus matrix
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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