FlowSOM (version 1.4.0)

metaClustering_consensus: MetaClustering

Description

Cluster data using hierarchical consensus clustering with k clusters

Usage

metaClustering_consensus(data, k = 7)

Arguments

data

Matrix containing the data to cluster

k

Number of clusters

Value

Numeric array indicating cluster for each datapoint

See Also

MetaClustering

Examples

   # 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)