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Analysis and Detection in V-Formations with Outliers

Acceso Abierto
ID Minciencias: ART-0000289779-306
Ranking: ART-ART_C

Abstract:

A diversity of movement patterns may be identified whenstudying a set of moving entities. One of these patterns iscalled V-formation since its shape resembles such letter.Informally, a set of entities shows a V-formation if theyare located in one of its two characteristic lines. In thispaper, we propose a model for identifying V-formationswith outliers in a list of moving entities. An outlier is anentity of the formation that is apart from its characteristiclines. We present the formal rules of our model and analgorithm for detecting outliers. Our model was validatedin NetLogo, a programming and modeling environmentfor simulating natural and social phenomena.

Tópico:

Data Visualization and Analytics

Citaciones:

Citations: 1
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Información de la Fuente:

FuenteIngenieria y Universidad
Cuartil año de publicaciónNo disponible
Volumen18
Issue1
Páginas43 - 57
pISSNNo disponible
ISSN2011-2769

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