flexclust (version 0.8-0)

stepFlexclust: Run FlexClust Algorithms Repeatedly

Description

Runs clustering algorithms repeatedly for different numbers of clusters and returns the minimum within cluster distance solution for each.

Usage

stepFlexclust(..., K=NULL, nrep=3, verbose=TRUE, FUN = kcca, drop=TRUE)
## S3 method for class 'stepFlexclust,missing':
plot(x, y,
  type=c("barplot", "lines"), totaldist=NULL,
  xlab=NULL, ylab=NULL, ...)
## S3 method for class 'stepFlexclust':
getModel(object, which=1)

Arguments

...

passed to kcca or cclust.

K

A vector of integers passed in turn to the k argument of kcca

nrep

For each value of k run kcca nrep times and keep only the best solution.

FUN

Cluster function to use, typically kcca or cclust.

verbose

If TRUE, show progress information during computations.

drop

If TRUE and K is of length 1, then a single cluster object is returned instead of a "stepFlexclust" object.

x

Object of class "stepFlexclust".

y

Not used.

type

Create a barplot or lines plot.

totaldist

Include value for 1-cluster solution in plot? Default is TRUE if K contains 2, else FALSE.

xlab, ylab

Graphical parameters.

object

Object of class "stepFlexclust".

which

Number of model to get. If character, interpreted as number of clusters.

Examples

data("Nclus")
plot(Nclus)

cl1 = stepFlexclust(Nclus, K=2:7, FUN=cclust)
cl1

plot(cl1)

getModel(cl1, 4)

opar=par("mfrow")
par(mfrow=c(2,2))
for(k in 3:6){
  image(getModel(cl1, as.character(k)), data=Nclus)
  title(main=paste(k, "clusters"))
}
par(opar)