Performs Consensus Clustering Analysis to identify stable clusters.
Usage
RunCOCA(
jaccard.matrix,
max.clusters = 6,
optimal.clusters = 3,
linkage.method = "ward.D2",
clustering.algorithm = "hc",
distance.metric = "euclidean",
resampling.iterations = 10000,
resample.proportion = 0.7
)Arguments
- jaccard.matrix
A Jaccard distance matrix.
- max.clusters
Integer. Maximum number of clusters (default: 6).
- optimal.clusters
Integer. Optimal number of clusters (default: 3).
- linkage.method
Character. Linkage method (default: "ward.D2").
- clustering.algorithm
Character. Clustering algorithm (default: "hc").
- distance.metric
Character. Distance metric (default: "euclidean").
- resampling.iterations
Integer. Resampling iterations (default: 10000).
- resample.proportion
Numeric. Resample proportion (default: 0.7).