predict.ccfkms {cba}R Documentation

Clustering with Conjugate Convex Functions.

Description

Classify the rows of a data matrix using conjugate convex functions.

Usage

## S3 method for class 'ccfkms':
predict(object, x, drop = 1, ...)

Arguments

object an object of class ccfkms.
x a data matrix containing test or new samples.
drop cluster size threshold.
... other (unused) arguments.

Details

This is a wrapper to ccfkms which uses a single iteration for classifying the data.

In the case a drop value greater than zero is specified, all clusters with size equal or less than this value are removed from the classifier.

Value

A list with the following components:

centers a matrix of cluster means.
size a vector of cluster sizes.
cl a factor of cluster labels (indexes).
inv.inf the inverted information of the partition.

Author(s)

Christian Buchta

See Also

ccfkms for obtaining a classifier.

Examples

### see ccfkms

[Package cba version 0.2-1 Index]