cba (version 0.2-5)

predict.ccfkms: 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.

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.

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

### see ccfkms