weightedKNN: Implementation of a feature weighted k-nearest neighbour...

In AdaSampling: Adaptive Sampling for Positive Unlabeled and Label Noise Learning

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.

AdaSampling documentation built on May 21, 2019, 9:02 a.m.