weightedKNN {AdaSampling}R Documentation

Implementation of a feature weighted k-nearest neighbour classifier.

Description

Implementation of a feature weighted k-nearest neighbour classifier.

Usage

weightedKNN(train.mat, test.mat, cl, k = 3, weights)

Arguments

train.mat

training data matrix, without class labels.

test.mat

test data matrix, without class labels.

cl

class labels for training data.

k

number of nearest neighbour to be used.

weights

weights to be assigned to each feautre.


[Package AdaSampling version 1.3 Index]