quantize

This function quantizes real values in the interval <code>[a, b]</code> to integer levels from 0 to k-1.

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

quantize function

<dl><dt>arr</dt>
<dd>A numeric vector in the interval <code>[a, b]</code>.</dd>
<dt>a</dt>
<dd>The lower bound of the interval.</dd>
<dt>b</dt>
<dd>The upper bound of the interval.</dd>
<dt>k</dt>
<dd>The number of quantization levels (default is 10).</dd></dl>

Arguments

Quantizes real values to integer levels. — quantize

<dl>

<dt>arr</dt>
<dd>A numeric vector in the interval <code>[a, b]</code>.</dd>


<dt>a</dt>
<dd>The lower bound of the interval.</dd>


<dt>b</dt>
<dd>The upper bound of the interval.</dd>


<dt>k</dt>
<dd>The number of quantization levels (default is 10).</dd>

</dl>

quantize: Quantizes real values to integer levels.

Description

Usage

Value

Arguments