rknn (version 1.0)

rknnSupport: 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, Random.seed = NULL, seed = NULL, knn.algo="VR")
rknnRegSupport(data, y, k = k, r = 500, mtry = trunc(sqrt(ncol(data))), 
    fixed.partition = FALSE, Random.seed = NULL, seed = NULL, knn.algo="VR")

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.

Random.seed

A seed in the .Random.seed format.

seed

An integer seed.

knn.algo

nearest neighbor searching algorithm.

Value

• A supportKNN object.