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Authors: Ahmed Ali Abdalla Esmin and Dilson Lucas Pereira

Affiliation: Federal University of Lavras (UFLA), Brazil

Keyword(s): PSO, Data clustering.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Evolutionary Programming ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: This paper presents a new proposal for data clustering based on the Particle Swarm Optimization Algorithm (PSO). In the PSO algorithm, each individual in the population searches for a solution taking into account the best individual in a certain neighbourhood and its own past best solution as well. In the present work, the PSO algorithm was adapted by using different finenesses functions and considered the situation where the data is uniformly distributed. It is shown how PSO can be used to find the centroids of a user specified number of clusters. The proposed method was applied in an unsupervised fashion to a number of benchmark classification problems and in order to evaluate its performance.

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Paper citation in several formats:
Ali Abdalla Esmin, A. and Lucas Pereira, D. (2008). NEW APPROACHES TO CLUSTERING DATA - Using the Particle Swarm Optimization Algorithm. In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS; ISBN 978-989-8111-37-1; ISSN 2184-4992, SciTePress, pages 593-597. DOI: 10.5220/0001722105930597

@conference{iceis08,
author={Ahmed {Ali Abdalla Esmin}. and Dilson {Lucas Pereira}.},
title={NEW APPROACHES TO CLUSTERING DATA - Using the Particle Swarm Optimization Algorithm},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS},
year={2008},
pages={593-597},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001722105930597},
isbn={978-989-8111-37-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS
TI - NEW APPROACHES TO CLUSTERING DATA - Using the Particle Swarm Optimization Algorithm
SN - 978-989-8111-37-1
IS - 2184-4992
AU - Ali Abdalla Esmin, A.
AU - Lucas Pereira, D.
PY - 2008
SP - 593
EP - 597
DO - 10.5220/0001722105930597
PB - SciTePress

- Science and Technology Publications, Lda.
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