cba (version 0.2-21)

predict.ccfkms: Clustering with Conjugate Convex Functions.

Description

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

Usage

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

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.

Arguments

object

an object of class ccfkms.

x

a data matrix containing test or new samples.

drop

cluster size threshold.

...

other (unused) arguments.

Author

Christian Buchta

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.

See Also

ccfkms for obtaining a classifier.

Examples

Run this code
### see ccfkms

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