dist.fun.tricubic: Tricubic distance functions for topological k-NN classifier
In som.nn: Topological k-NN Classifier Based on Self-Organising Maps

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

1	dist.fun.tricubic(x, sigma = 1)

`x`	Distance or `numeric` vector or matrix of distances.
`sigma`	Maximum distance to be considered.

The function returns 1.0 for x = 0, 0.0 for x ≥ σ and

w(x) = (1 - x^3 / σ^3)^3

for 0 < x < σ.

Distance-dependent weight.

som.nn documentation built on May 2, 2019, 8:26 a.m.

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