metaClustering_consensus {FlowSOM} | R Documentation |
Cluster data using hierarchical consensus clustering with k clusters
metaClustering_consensus(data, k = 7, seed = NULL)
data |
Matrix containing the data to cluster |
k |
Number of clusters |
seed |
Seed to pass to consensusClusterPlus |
Numeric array indicating cluster for each datapoint
# Read from file, build self-organizing map and minimal spanning tree fileName <- system.file("extdata", "68983.fcs", package = "FlowSOM") flowSOM.res <- ReadInput(fileName, compensate = TRUE,transform = TRUE, scale = TRUE) flowSOM.res <- BuildSOM(flowSOM.res,colsToUse = c(9, 12, 14:18)) flowSOM.res <- BuildMST(flowSOM.res) # Apply consensus metaclustering metacl <- metaClustering_consensus(flowSOM.res$map$codes, k = 10)