SPARSE-PIVOT: Dynamic correlation clustering for node insertions

Fuente: arXiv
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Main Authors: Dalirrooyfard, Mina, Makarychev, Konstantin, Mitrović, Slobodan
Format: Preprint
Published: 2025
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author Dalirrooyfard, Mina
Makarychev, Konstantin
Mitrović, Slobodan
author_facet Dalirrooyfard, Mina
Makarychev, Konstantin
Mitrović, Slobodan
contents We present a new Correlation Clustering algorithm for a dynamic setting where nodes are added one at a time. In this model, proposed by Cohen-Addad, Lattanzi, Maggiori, and Parotsidis (ICML 2024), the algorithm uses database queries to access the input graph and updates the clustering as each new node is added. Our algorithm has the amortized update time of $O_ε(\log^{O(1)}(n))$. Its approximation factor is $20+\varepsilon$, which is a substantial improvement over the approximation factor of the algorithm by Cohen-Addad et al. We complement our theoretical findings by empirically evaluating the approximation guarantee of our algorithm. The results show that it outperforms the algorithm by Cohen-Addad et al.~in practice.
format Preprint
id arxiv_https___arxiv_org_abs_2507_01830
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SPARSE-PIVOT: Dynamic correlation clustering for node insertions
Dalirrooyfard, Mina
Makarychev, Konstantin
Mitrović, Slobodan
Data Structures and Algorithms
We present a new Correlation Clustering algorithm for a dynamic setting where nodes are added one at a time. In this model, proposed by Cohen-Addad, Lattanzi, Maggiori, and Parotsidis (ICML 2024), the algorithm uses database queries to access the input graph and updates the clustering as each new node is added. Our algorithm has the amortized update time of $O_ε(\log^{O(1)}(n))$. Its approximation factor is $20+\varepsilon$, which is a substantial improvement over the approximation factor of the algorithm by Cohen-Addad et al. We complement our theoretical findings by empirically evaluating the approximation guarantee of our algorithm. The results show that it outperforms the algorithm by Cohen-Addad et al.~in practice.
title SPARSE-PIVOT: Dynamic correlation clustering for node insertions
topic Data Structures and Algorithms
url https://arxiv.org/abs/2507.01830