bord_noise: Mislabeling based on k-nearest neighbors

In noisemodel: Noise Models for Classification Datasets

Mislabeling based on k-nearest neighbors

Description

Computation of a noisy label based on majority class among k nearest neighbors with different label.

Usage

bord_noise(x, y, num_noise, idx_noise, k)

Arguments

x	a data frame of input attributes.
y	a factor vector with the output class of each sample.
num_noise	an integer with the number of noisy samples.
idx_noise	an integer vector with the indices of noisy samples.
k	an integer with the number of nearest neighbors to use.

Value

A vector of length length(y) with the class of each sample, including the new noisy classes for the samples with indices idx_noise.

noisemodel documentation built on Oct. 17, 2022, 9:05 a.m.