Interactive visual clustering of large collections of trajectories

One of the most common operations in exploration and analysis of various kinds of data is clustering, i.e. discovery and interpretation of groups of objects having similar properties and/or behaviors. In clustering, objects are often treated as points in multi-dimensional space of properties. Howeve...

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Bibliographic Details
Published in:	2009 IEEE Symposium on Visual Analytics Science and Technology pp. 3 - 10
Main Authors:	Andrienko, G., Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., Giannotti, F.
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 01.10.2009
Subjects:	classification clustering Clustering algorithms Clustering methods Data visualization Functional analysis geovisualization Humans Information analysis Information systems Joining processes movement data Scalability scalable visualization Spatio-temporal data Spatiotemporal phenomena trajectories
ISBN:	9781424452835, 142445283X
Online Access:	Get full text
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