flexclust (version 1.1-0)

bootFlexclust: Bootstrap Flexclust Algorithms

Description

Runs clustering algorithms repeatedly for different numbers of clusters on bootstrap replica of the original data and returns corresponding cluster assignments, centroids and Rand indices comparing pairs of partitions.

Usage

bootFlexclust(x, k, nboot=100, verbose=TRUE, correct=TRUE, ...)
## S3 method for class 'bootFlexclust,missing':
plot(x, y, ...)
## S3 method for class 'bootFlexclust':
boxplot(x, ...)
## S3 method for class 'bootFlexclust':
densityplot(x, data, ...)

Arguments

x, k, ...

Passed to stepFlexclust.

nboot

Number of bootstrap pairs of partitions.

verbose

If TRUE, show progress information during computations.

correct

Logical, correct the index for agreement by chance?

y, data

Not used.

See Also

stepFlexclust

Examples

## data uniform on unit square
x <- matrix(runif(400), ncol=2)

bcl <- bootFlexclust(x, k=2:7, nboot=20, FUN=cclust)

bcl
summary(bcl)

## splitting the square into four quadrants should be the most stable
## solution (increase nboot if not)
plot(bcl)
densityplot(bcl, from=0)