Sim_points

<p>150 points generated using Gaussian-like Hit-and-Run sampling with three
separate pairs of location and scale parameters</p>

datasets

Suite of tropical geometric tools for use in machine learning applications. These methods may be summarized in the following references: Yoshida, et al. (2022) <doi:10.2140/astat.2023.14.37>, Barnhill et al. (2023) <doi:10.48550/arXiv.2303.02539>, Barnhill and Yoshida (2023) <doi:10.3390/math11153433>, Aliatimis et al. (2023) <doi:10.1007/s11538-024-01327-8>, Yoshida et al. (2022) <doi:10.1109/TCBB.2024.3420815>, and Yoshida et al. (2019) <doi:10.1007/s11538-018-0493-4>.

David Barnhill

Tropical Geometry Tools for Machine Learning

Ruriko Yoshida

Georgios Aliatimis

Keiji Miura

Sim_points function


<div class="section" id="sim-points-a-x-matrix-where-each-row-is-a-point-in-the">
<h3><code>Sim_points</code> A 150 x 3 matrix where each row is a point in the</h3><p></p><p>
</p><p>tropical projective torus</p>
</div>


Format

Simulated points over the tropical projective torus — Sim_points


<div class='section' id='sim-points-a-x-matrix-where-each-row-is-a-point-in-the'>
<h3><code>Sim_points</code> A 150 x 3 matrix where each row is a point in the</h3>


<p>tropical projective torus</p>
</div>


Sim_points: Simulated points over the tropical projective torus

Description

Usage

Arguments

Format

`Sim_points` A 150 x 3 matrix where each row is a point in the

Description

Usage

Arguments

Format

Sim_points A 150 x 3 matrix where each row is a point in the

`Sim_points` A 150 x 3 matrix where each row is a point in the