curvature_estimation

Computes the curvatures of all samples in the training set.

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

curvature_estimation function

<dl><dt>data</dt>
<dd>A numeric matrix or data frame of the training data.</dd>
<dt>k</dt>
<dd>The number of neighbors for the initial k-NN graph.</dd></dl>

Arguments

Computes the curvatures of all samples in the training set. — curvature_estimation

<dl>

<dt>data</dt>
<dd>A numeric matrix or data frame of the training data.</dd>


<dt>k</dt>
<dd>The number of neighbors for the initial k-NN graph.</dd>

</dl>

curvature_estimation: Computes the curvatures of all samples in the training set.

Description

Usage

Value

Arguments