DANN_distance

Computes the distance between x0 and x1 using the DANN metric

internal

Discriminant Adaptive Nearest Neighbor Classification is a
variation of k nearest neighbors where the shape of the neighborhood is
data driven. This package implements dann and sub_dann from
Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.

Greg McMahan

dann

Discriminant Adaptive Nearest Neighbor Classification

DANN_distance function

<dl><dt>x0</dt>
<dd>A numeric matrix with training predictors as columns.</dd>
<dt>x1</dt>
<dd>A numeric matrix with training predictors as columns.</dd>
<dt>sigma</dt>
<dd>A numeric matrix defined in Hastie's DANN publication.</dd></dl>

Arguments

Computes the distance between x0 and x1 using the DANN metric — DANN_distance

<dl>

<dt>x0</dt>
<dd>A numeric matrix with training predictors as columns.</dd>


<dt>x1</dt>
<dd>A numeric matrix with training predictors as columns.</dd>


<dt>sigma</dt>
<dd>A numeric matrix defined in Hastie's DANN publication.</dd>

</dl>

DANN_distance: Computes the distance between x0 and x1 using the DANN metric

Description

Usage

Arguments