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","lymphocytes.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)