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arXiv · 2509.25376

Cold-Start Active Correlation Clustering

Linus Aronsson·Han Wu·Morteza Haghir Chehreghani
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Abstract

We study active correlation clustering where pairwise similarities are not provided upfront and must be queried in a cost-efficient manner through active learning. Specifically, we focus on the cold-start scenario, where no true initial pairwise similarities are available for active learning. To address this challenge, we propose a coverage-aware method that encourages diversity early in the process. We demonstrate the effectiveness of our approach through several synthetic and real-world experiments.

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Linus Aronsson, Han Wu, Morteza Haghir Chehreghani. 2025-09-29. Cold-Start Active Correlation Clustering. https://arxiv.org/abs/2509.25376

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