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Hauptverfasser: Glazenburg, Erwin, van der Horst, Thijs, Peters, Tom, Speckmann, Bettina, Staals, Frank
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2401.02897
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author Glazenburg, Erwin
van der Horst, Thijs
Peters, Tom
Speckmann, Bettina
Staals, Frank
author_facet Glazenburg, Erwin
van der Horst, Thijs
Peters, Tom
Speckmann, Bettina
Staals, Frank
contents Given two sets $R$ and $B$ of $n$ points in the plane, we present efficient algorithms to find a two-line linear classifier that best separates the "red" points in $R$ from the "blue" points in $B$ and is robust to outliers. More precisely, we find a region $\mathcal{W}_B$ bounded by two lines, so either a halfplane, strip, wedge, or double wedge, containing (most of) the blue points $B$, and few red points. Our running times vary between optimal $O(n\log n)$ and around $O(n^3)$, depending on the type of region $\mathcal{W}_B$ and whether we wish to minimize only red outliers, only blue outliers, or both.
format Preprint
id arxiv_https___arxiv_org_abs_2401_02897
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Robust Bichromatic Classification using Two Lines
Glazenburg, Erwin
van der Horst, Thijs
Peters, Tom
Speckmann, Bettina
Staals, Frank
Computational Geometry
68Q25
F.2.2
Given two sets $R$ and $B$ of $n$ points in the plane, we present efficient algorithms to find a two-line linear classifier that best separates the "red" points in $R$ from the "blue" points in $B$ and is robust to outliers. More precisely, we find a region $\mathcal{W}_B$ bounded by two lines, so either a halfplane, strip, wedge, or double wedge, containing (most of) the blue points $B$, and few red points. Our running times vary between optimal $O(n\log n)$ and around $O(n^3)$, depending on the type of region $\mathcal{W}_B$ and whether we wish to minimize only red outliers, only blue outliers, or both.
title Robust Bichromatic Classification using Two Lines
topic Computational Geometry
68Q25
F.2.2
url https://arxiv.org/abs/2401.02897