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Journal Articles Theoretical Computer Science Year : 2022

Clustering with Respect to the Information Distance

Abstract

We discuss the notion of a dense cluster with respect to the information distance and prove that all such clusters have an extractable core that represents the mutual information shared by the objects in the cluster.
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Dates and versions

lirmm-03370967 , version 1 (17-10-2023)

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Andrei Romashchenko. Clustering with Respect to the Information Distance. Theoretical Computer Science, 2022, 929, pp.164-171. ⟨10.1016/j.tcs.2022.06.039⟩. ⟨lirmm-03370967⟩
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