rknn (version 1.2-1)

rknn: Random KNN Classification and Regression

Description

Random KNN Classification and Regression

Usage

rknn(data, newdata, y, k = 1, r = 500, mtry = trunc(sqrt(ncol(data))),  cluster = NULL, seed = NULL)
rknn.cv(data, y, k = 1, r = 500, mtry=trunc(sqrt(ncol(data))),  cluster=NULL, seed = NULL)
rknnReg(data, newdata, y, k=1, r=500,  mtry=trunc(sqrt(ncol(data))),  cluster=NULL, seed=NULL)

Arguments

data

A training dataset.

newdata

A testing 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.

cluster

An object of class `c("SOCKcluster", "cluster")'

seed

An integer seed.

Value

RandomKNN object.