Title

Lower Bounds on Paraclique Density

Document Type

Article

Publication Date

5-11-2016

Publication Title

Discrete Applied Mathematics

DOI

10.1016/j.dam.2015.11.010

ISSN

0166-218X

Abstract

The scientific literature teems with clique-centric clustering strategies. In this paper we analyze one such method, the paraclique algorithm. Paraclique has found practical utility in a variety of application domains, and has been successfully employed to reduce the effects of noise. Nevertheless, its formal analysis and worst-case guarantees have remained elusive. We address this issue by deriving a series of lower bounds on paraclique densities.

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