point_curvature_estimation

Computes the curvature of a single test sample's neighborhood.

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

point_curvature_estimation function

<dl><dt>data</dt>
<dd>A numeric matrix or data frame representing the neighborhood (test point + its neighbors).</dd></dl>

Arguments

Computes the curvature of a single test sample's neighborhood. — point_curvature_estimation

<dl>

<dt>data</dt>
<dd>A numeric matrix or data frame representing the neighborhood (test point + its neighbors).</dd>

</dl>

point_curvature_estimation: Computes the curvature of a single test sample's neighborhood.

Description

Usage

Value

Arguments