predict.ccfkms: Clustering with Conjugate Convex Functions.

In cba: Clustering for Business Analytics

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

cba documentation built on Dec. 7, 2022, 5:17 p.m.