This paper proposes a tutorial on the Data Clustering technique using the Particle Swarm Optimization approach. Following the work proposed by Merwe et al. here we present an in-deep analysis of the algorithm together with a Matlab implementation and a short tutorial that explains how to modify the proposed implementation and the effect of the parameters of the original algorithm. Moreover, we provide a comparison against the results obtained using the well known K-Means approach. All the source code presented in this paper is publicly available under the GPL-v2 license
Ballardini, A. (2018). A tutorial on Particle Swarm Optimization Clustering [Tutorial].
Citazione: | Ballardini, A. (2018). A tutorial on Particle Swarm Optimization Clustering [Tutorial]. | |
Titolo: | A tutorial on Particle Swarm Optimization Clustering | |
Autori: | Ballardini, A | |
Autori: | BALLARDINI, AUGUSTO LUIS (Corresponding) | |
Presenza di un coautore afferente ad Istituzioni straniere: | No | |
Carattere della pubblicazione: | Didattica | |
DCMI: | Tutorial | |
Data di pubblicazione: | 2018 | |
Lingua: | English | |
Appare nelle tipologie: | 99 - Altro |
File in questo prodotto:
File | Descrizione | Tipologia | Licenza | |
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1809.01942.pdf | articolo principale | Preprint | Open Access Visualizza/Apri |