R: Clustering with Conjugate Convex Functions.

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 0.2-21 Index]