mergeClusters {randomUniformForest}

Merge two arbitrary, but adjacent, clusters

Description

merge, on the flight, two adjacent clusters in order to allow better clustering scheme, if needed, and to avoid new computation of the unsupervised mode.

Usage

mergeClusters(object, whichOnes)

Arguments

object

an object of class unsupervised.

whichOnes

which clusters are needed to be merged ? Should be two adjacent ones.

Value

An object of class unsupervised.

Author(s)

Saip Ciss [e-mail]

See Also

modifyClusters

Examples

## not run

## Crabs data 
# data(crabs, package = "MASS")

## and more about
# ?crabs

## model : commit 4 clusters
# crabs.rufUnsupervised = unsupervised.randomUniformForest(crabs, 
# categoricalvariablesidx = "all", nodesize = 5, threads = 1, clusters = 4)

## visualize clusters and merge adjacent clusters
# plot(crabs.rufUnsupervised)

## we can first merge clusters 1 and 4
## note that clusters may change if run again
# crabs.rufUnsupervisedNew = mergeClusters(crabs.rufUnsupervised, c(1,4))

## one can assess the fitting, comparing old and new model
# crabs.rufUnsupervised
# crabs.rufUnsupervisedNew

## visualize new model
# plot(crabs.rufUnsupervisedNew)

## merge new clusters 1 and 2 and look if it will be better
# crabs.rufUnsupervisedNewest = mergeClusters(crabs.rufUnsupervisedNew, c(1,2))

# crabs.rufUnsupervisedNewest
# plot(crabs.rufUnsupervisedNewest)

## NOTE : mergeClusters() provides choice on how to choose and assess clusters
## using simply visualization.