dist.fun.linear: Linear distance functions for topological k-NN classifier

In som.nn: Topological k-NN Classifier Based on Self-Organising Maps

Linear distance functions for topological k-NN classifier

Description

The function is used as distance-dependent weight w for k-NN voting.

Usage

dist.fun.linear(x, sigma = 1.1)

Arguments

x	Distance or numeric vector of distances.
sigma	Maximum distance to be considered. Default is 1.1.

Details

The function returns 1.0 for x = 0, 0.0 for x \ge \sigma and

1 - x / \sigma

for 0 < x < \sigma.

Value

  Distance-dependent weight.

som.nn documentation built on May 29, 2024, 6:50 a.m.