Abstract
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 WB 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) up to around O(n3), depending on the type of region WB and whether we wish to minimize only red outliers, only blue outliers, or both.
Original language | English |
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Title of host publication | 35th International Symposium on Algorithms and Computation (ISAAC 2024) |
Editors | Julián Mestre, Anthony Wirth |
Publisher | Dagstuhl Publishing |
Pages | 33:1-33:14 |
Number of pages | 14 |
ISBN (Electronic) | 978-3-95977-354-6 |
ISBN (Print) | 978-3-95977-354-6 |
DOIs | |
Publication status | Published - 4 Dec 2024 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 322 |
ISSN (Print) | 1868-8969 |
Bibliographical note
Publisher Copyright:© Erwin Glazenburg, Thijs van der Horst, Tom Peters, Bettina Speckmann, and Frank Staals.
Keywords
- Bichromatic
- Classification
- Duality
- Geometric Algorithms
- Separating Line