A spatial clustering method for points-with-directions

Authors:
Jing Wang;Xin Wang
Affiliations:
Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada;Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada
Venue:
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Year:
2012

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Abstract

In this paper, we first formalize a points-with-directions clustering problem. Then we propose a points-with-directions clustering (PDC) and an improved PDC+ methods. The proposed methods can handle point data with direction and trajectory data. The trajectory data is divided into a set of points with directions. The proposed methods are evaluated with a hurricane dataset.