shipunov (version 1.3)

Jclust: Simple bootstrap and jackknife clustering

Description

Simple bootstrap and jackknife clustering

Usage

Jclust(data, n.cl, iter=100, method.d="manhattan", method.c="ward.D", bootstrap=TRUE)
# S3 method for Jclust
print(x, ...)
# S3 method for Jclust
plot(x, main="", xlab="", sub=NULL, rect.lty=3, rect.col=1, ...)

Arguments

data

Data

n.cl

Number of desired clusters

iter

Number of iterations

method.d

Distance method

method.c

Hierarchical clustering method

bootstrap

Bootstrap or jackknife?

x

Object of the class 'Jclust'

rect.lty

Line type for the rectangles

rect.col

Color of rectangles

main

Plot title

xlab

Horizontal axis label

sub

Horizontal axis sub-label

...

Additional arguments to the 'print()' or 'plot.hclust()'

Details

Simple bootstrap and jackknife clustering, requires the desired number of clusters.

Alternative: 'pvc::pvc()'.

See Also

Bclust, link{BootA}

Examples

# NOT RUN {
(mo.j <- Jclust(t(moldino), 3, iter=1000))
plot(mo.j)

# }
# NOT RUN {
## This is how one can bootstrap _all_ reliable cluster numbers:
for (i in 2:(nrow(t(moldino)) - 1)) print(Jclust(t(moldino), i, iter=1000, boot=TRUE))
# }