pith:YQREIOVR
Clustering with Locally Bounded Ignorance
Correlation Clustering admits polynomial kernels when the fuzzy edge graph has bounded degeneracy or closure, for parameters combining solution cost with that bound.
arxiv:2605.13917 v1 · 2026-05-13 · cs.DS · cs.CC
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Claims
We show in particular that Correlation Clustering admits a polynomial problem kernel when parameterized by k+d, where d is the degeneracy of the fuzzy edge graph, and when parameterized by k+c, where c is the closure of the fuzzy edge graph.
The fuzzy edge graph (induced by weight-0 edges) has bounded degeneracy or closure; the kernelization algorithms rely on this structural restriction to produce a polynomial-size reduced instance.
Correlation Clustering admits polynomial kernels parameterized by k plus degeneracy or closure of the fuzzy edge graph.
References
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| First computed | 2026-05-17T23:39:18.736178Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c422443ab1e69b5ee4080990468bb762c854a287882d2c18af841262b7b76f9a
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/YQREIOVR42NV5ZAIBGIENC5XML \
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Canonical record JSON
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