Chromatic correlation clustering via cluster LP

Fuente: arXiv
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Autori principali: Abbasi, Fateme, An, Hyung-Chan, Byrka, Jarosław, Lee, Changyeol, Shin, Yongho
Natura: Preprint
Pubblicazione: 2025
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author Abbasi, Fateme
An, Hyung-Chan
Byrka, Jarosław
Lee, Changyeol
Shin, Yongho
author_facet Abbasi, Fateme
An, Hyung-Chan
Byrka, Jarosław
Lee, Changyeol
Shin, Yongho
contents Correlation Clustering is a fundamental clustering problem, and there has been a line of work on improving the approximation ratio for this problem in recent years. A key algorithmic component in these works is the cluster LP. Chromatic Correlation Clustering is an interesting generalization that has also been intensively studied. In light of success of the cluster LP in Correlation Clustering, it would be an interesting question whether the cluster LP can be used in Chromatic Correlation Clustering. We answer this question with affirmatives by presenting a $(2+\varepsilon)$-approximation algorithm for Chromatic Correlation Clustering using a chromatic cluster LP.
format Preprint
id arxiv_https___arxiv_org_abs_2510_13446
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Chromatic correlation clustering via cluster LP
Abbasi, Fateme
An, Hyung-Chan
Byrka, Jarosław
Lee, Changyeol
Shin, Yongho
Data Structures and Algorithms
Correlation Clustering is a fundamental clustering problem, and there has been a line of work on improving the approximation ratio for this problem in recent years. A key algorithmic component in these works is the cluster LP. Chromatic Correlation Clustering is an interesting generalization that has also been intensively studied. In light of success of the cluster LP in Correlation Clustering, it would be an interesting question whether the cluster LP can be used in Chromatic Correlation Clustering. We answer this question with affirmatives by presenting a $(2+\varepsilon)$-approximation algorithm for Chromatic Correlation Clustering using a chromatic cluster LP.
title Chromatic correlation clustering via cluster LP
topic Data Structures and Algorithms
url https://arxiv.org/abs/2510.13446