dist.fun.tricubic: Tricubic distance functions for topological k-NN classifier
In som.nn: Topological k-NN Classifier Based on Self-Organising Maps
View source: R/som.nn.distance.functions.R
dist.fun.tricubic R Documentation
Tricubic distance functions for topological k-NN classifier
Description
The tricubic function is used as distance-dependent weight w for
k-NN voting.
Usage
dist.fun.tricubic(x, sigma = 1)
Arguments
x
Distance or numeric vector or matrix of distances.
sigma
Maximum distance to be considered.
Details
The function returns 1.0 for x = 0, 0.0 for x \ge \sigma and
w(x) = (1 - x^3 / \sigma^3)^3
for 0 < x < \sigma.
Value
Distance-dependent weight.
som.nn documentation built on May 29, 2024, 6:50 a.m.
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View source: R/som.nn.distance.functions.R
| dist.fun.tricubic | R Documentation |
Tricubic distance functions for topological k-NN classifier
Description
The tricubic function is used as distance-dependent weight w for
k-NN voting.
Usage
dist.fun.tricubic(x, sigma = 1)
Arguments
x |
Distance or |
sigma |
Maximum distance to be considered. |
Details
The function returns 1.0 for x = 0, 0.0 for x \ge \sigma and
w(x) = (1 - x^3 / \sigma^3)^3
for 0 < x < \sigma.
Value
Distance-dependent weight.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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