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Authors: J. Cheng ; M. R. Sayeh and M. R. Zargham

Affiliation: Southern Illinois University Carbondale, United States

Keyword(s): ODE, Clustering, Vector quantization, Real time.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Business Analytics ; Computational Intelligence ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: This paper focuses on the development of a dynamic system model in unsupervised learning environment. This adaptive dynamic system consists of a set of energy functions which create valleys for representing clusters. Each valley represents a cluster of similar input patterns. The system includes a dynamic parameter for the clustering vigilance so that the cluster size or the quantizing resolution can be adaptive to the density of the input patterns. It also includes a factor for invoking competitive exclusion among the valleys; forcing only one label to be assigned to each cluster. Through several examples of different pattern clusters, it is shown that the model can successfully cluster these types of input patterns and form different sizes of clusters according to the size of the input patterns.

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Paper citation in several formats:
Cheng, J.; R. Sayeh, M. and R. Zargham, M. (2008). REAL TIME CLUSTERING MODEL. 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 235-240. DOI: 10.5220/0001694002350240

@conference{iceis08,
author={J. Cheng. and M. {R. Sayeh}. and M. {R. Zargham}.},
title={REAL TIME CLUSTERING MODEL},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS},
year={2008},
pages={235-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001694002350240},
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 - REAL TIME CLUSTERING MODEL
SN - 978-989-8111-37-1
IS - 2184-4992
AU - Cheng, J.
AU - R. Sayeh, M.
AU - R. Zargham, M.
PY - 2008
SP - 235
EP - 240
DO - 10.5220/0001694002350240
PB - SciTePress

- Science and Technology Publications, Lda.
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