MetaClustering {FlowSOM} | R Documentation

## MetaClustering

### Description

Cluster data with automatic number of cluster determination for several algorithms

### Usage

    MetaClustering(data, method, max = 20, seed = NULL, ...)

### Arguments

`data` | Matrix containing the data to cluster
`method` | Clustering method to use
`max` | Maximum number of clusters to try out
`seed` | Seed to pass on to given clustering method
`...` | Extra parameters to pass along

### Value

Numeric array indicating cluster for each datapoint

### See Also

`metaClustering_consensus`

### Examples

       # 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 metaclustering
       metacl <- MetaClustering(flowSOM.res$map$codes,
                                "metaClustering_consensus",
                                max = 10)

       # Get metaclustering per cell
       flowSOM.clustering <- metacl[flowSOM.res$map$mapping[, 1]]

[Package FlowSOM version 2.2.0 Index]