ccd: Cluster Catch Digraphs

In cccd: Class Cover Catch Digraphs

Cluster Catch Digraphs

Description

construct the cluster catch digraph from a data matrix.

Usage

ccd(data, m = 1, alpha = 0.05, sequential = TRUE, method = NULL)
## S3 method for class 'ccd'
plot(x,...)

Arguments

data	a matrix of observations.
m	slope of the null hypothesis curve.
alpha	alpha for the K-S test if sequential=T.
sequential	use the sequential or non-sequential version.
method	the method used for the distance. See dist.
x	an object of class ccd.
...	arguments passed to plot.cccd.

Details

cluster cover digraph. plot.ccd is just a call to plot.cccd.

Value

an object of class igraph. In addition, this contains the attributes:

R	the radii.
stats	the K-S statistics.
layout	the data vectors.
walks	the y-values of the random walks.
fs	the null hypothesis curve.
A	the adjacency matrix.
m,alpha	arguments passed to ccd.

Author(s)

David J. Marchette [e-mail]

References

D.J. Marchette, Random Graphs for Statistical Pattern Recognition, John Wiley & Sons, 2004.

See Also

cccd

Examples

x <- matrix(rnorm(100),ncol=2)
G <- ccd(x)
## Not run: 
plot(G)

## End(Not run)

cccd documentation built on April 8, 2022, 5:08 p.m.