http://www.cnr.it/ontology/cnr/individuo/prodotto/ID14448
Swarm-based Distributed Clustering in Peer-to-Peer Systems (Articolo in rivista)
- Type
- Label
- Swarm-based Distributed Clustering in Peer-to-Peer Systems (Articolo in rivista) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Folino Gianluigi, Spezzano Giandomenico, Forestiero Agostino (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- Swarm-based Distributed Clustering in Peer-to-Peer Systems (literal)
- Abstract
- Clustering can be defined as the process of partitioning a
set of patterns into disjoint and homogeneous meaningful groups, called
clusters. Traditional clustering methods require that all data have to be
located at the site where they are analyzed and cannot be applied in the
case of multiple distributed datasets. This paper describes a multi-agent
algorithm for clustering distributed data in a peer-to-peer environment.
The algorithm proposed is based on the biology-inspired paradigm of a flock of birds. Agents, in this context, are used to discovery clusters us
ing a density-based approach. Swarm-based algorithms have attractive
features that include adaptation, robustness and a distributed, decentralized nature, making them well-suited for clustering in p2p networks,
in which it is difficult to implement centralized network control. We have
applied this algorithm on synthetic and real world datasets and we have
measured the impact of the flocking search strategy on performance in
terms of accuracy and scalability. (literal)
- Prodotto di
- Autore CNR
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