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Article Dans Une Revue International Journal of Business Intelligence and Data Mining Année : 2014

Oriented spatial box plot, a new pattern for points clusters

Résumé

Nowadays, an abundance of sensors are used to collect very large datasets containing spatial points which can be mined and analysed to extract meaningful patterns and information. This article examines patterns which describe the dispersion of 2D data around a central tendency. Several state of the art patterns for point cluster analysis are presented and critiqued before a new pattern, the oriented spatial box plot, is defined. The oriented spatial box plot extends the classical one-dimensional box plot for summarising and visualising 2D point clusters. The pattern is suitable for detecting outliers and understanding the spatial density of point clusters.

Dates et versions

hal-01172635 , version 1 (07-07-2015)

Identifiants

Citer

Laurent Etienne, Thomas Devogele, Gavin Mcardle. Oriented spatial box plot, a new pattern for points clusters. International Journal of Business Intelligence and Data Mining, 2014, 9 (3), http://www.inderscience.com/info/inarticle.php?artid=68367. ⟨10.1504/IJBIDM.2014.068367⟩. ⟨hal-01172635⟩
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