sigmoid

Implements the kK-NN algorithm, an adaptive k-nearest neighbor classifier that adjusts the neighborhood size based on local data curvature. The method estimates local Gaussian curvature by approximating the shape operator of the data manifold. This approach aims to improve classification performance, particularly in datasets with limited samples.

Gabriel Pereira

LCCkNN

Adaptive k-Nearest Neighbor Classifier Based on Local Curvature
Estimation

sigmoid function

<dl><dt>x</dt>
<dd>A numeric value or vector.</dd>
<dt>a</dt>
<dd>A numeric scaling factor (default is 1).</dd></dl>

Arguments

A helper sigmoid function. — sigmoid

<dl>

<dt>x</dt>
<dd>A numeric value or vector.</dd>


<dt>a</dt>
<dd>A numeric scaling factor (default is 1).</dd>

</dl>

sigmoid: A helper sigmoid function.

Description

Usage

Value

Arguments