NNS.distance: NNS Distance
In NNS: Nonlinear Nonparametric Statistics
NNS.distance R Documentation
NNS Distance
Description
Internal kernel function for NNS multivariate regression NNS.reg parallel instances.
Usage
NNS.distance(rpm, dist.estimate, k, class)
Arguments
rpm
REGRESSION.POINT.MATRIX from NNS.reg
dist.estimate
Vector to generate distances from.
k
n.best from NNS.reg
class
if classification problem.
Value
Returns sum of weighted distances.
NNS documentation built on Oct. 14, 2024, 5:09 p.m.
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| NNS.distance | R Documentation |
NNS Distance
Description
Internal kernel function for NNS multivariate regression NNS.reg parallel instances.
Usage
NNS.distance(rpm, dist.estimate, k, class)
Arguments
rpm |
REGRESSION.POINT.MATRIX from NNS.reg |
dist.estimate |
Vector to generate distances from. |
k |
|
class |
if classification problem. |
Value
Returns sum of weighted distances.
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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