R: Support Criterion

rknnSupport {rknn} | R Documentation

## Support Criterion

### Description

Compute support criterion using Random KNN classification or regression

### Usage

    rknnSupport(data, y, k = 1, r = 500, mtry = trunc(sqrt(ncol(data))),
        fixed.partition = FALSE, cluster=NULL, seed = NULL)
    rknnRegSupport(data, y, k = k, r = 500, mtry = trunc(sqrt(ncol(data))),
        fixed.partition = FALSE, cluster=NULL, seed = NULL)

### Arguments

`data` | The input dataset.
`y` | A vector of responses.
`k` | Number of nearest neighbors.
`r` | Number of KNNs.
`mtry` | Number of features to be drawn for each KNN.
`fixed.partition` | Logical. Use fixed partition of dynamic partition of the data into training and testing subsets for each KNN.
`cluster` | An object of class ‘c("SOCKcluster", "cluster")’
`seed` | An integer seed.

### Value

A `supportKNN` object.

### Author(s)

Shengqiao Li<lishengqiao@yahoo.com>

[Package rknn version 1.2-1 Index]