Boosting Optimum-Path Forest clustering through harmony Search and its applications for intrusion detection in computer networks
Kelton Augusto Pontara da Costa, Clayton Reginaldo Pereira, Rodrigo Yuji Mizobe Nakamura, Luís A. M. Pereira, João Paulo Papa · 2012
In this paper we propose a nature-inspired approach that can boost the Optimum-Path Forest (OPF) clustering algorithm by optimizing its parameters in a discrete lattice. The experiments in two public datasets have shown that the proposed algorithm can achieve similar parameters' values compared to the exhaustive search. Although, the proposed technique is faster than the traditional one, being interesting for intrusion detection in large scale traffic networks.