Visual Cluster Analysis in Trajectory Data Using Editable Kohonen Maps

Tobias Schreck; Jürgen Bernard; Tatiana Tekusova; Jörn Kohlhammer

doi:10.1109/VAST.2008.4677350

Visual Cluster Analysis in Trajectory Data Using Editable Kohonen Maps

Tobias Schreck, Jürgen Bernard, Tatiana Tekusova, Jörn Kohlhammer

Institute of Computer Graphics and Knowledge Visualisation (7110)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Proceedings - IEEE Symposium on Visual Analytics Science and Technology 2008
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers
Pages	3-10
ISBN (Print)	978-1-4244-2935-6
DOIs	https://doi.org/10.1109/VAST.2008.4677350
Publication status	Published - 2008
Event	IEEE Symposium on Visual Analytics Science and Technology: IEEE VAST 2008 - Columbus, United States Duration: 19 Oct 2008 → 24 Oct 2008

Conference

Conference	IEEE Symposium on Visual Analytics Science and Technology
Abbreviated title	VAST '08
Country/Territory	United States
City	Columbus
Period	19/10/08 → 24/10/08

Fields of Expertise

Sonstiges

Access to Document

10.1109/VAST.2008.4677350

Cite this

Visual Cluster Analysis in Trajectory Data Using Editable Kohonen Maps. / Schreck, Tobias; Bernard, Jürgen; Tekusova, Tatiana et al.

Proceedings - IEEE Symposium on Visual Analytics Science and Technology 2008. Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2008. p. 3-10.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Schreck, T, Bernard, J, Tekusova, T & Kohlhammer, J 2008, Visual Cluster Analysis in Trajectory Data Using Editable Kohonen Maps. in Proceedings - IEEE Symposium on Visual Analytics Science and Technology 2008. Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 3-10, IEEE Symposium on Visual Analytics Science and Technology, Columbus, Ohio, United States, 19/10/08. https://doi.org/10.1109/VAST.2008.4677350

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