Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data

Andrada Tatu; Fabian Maaß; Ines Faerber; Enrico Bertini; Tobias Schreck; Thomas Seidl; Daniel A. Keim

doi:10.1109/VAST.2012.6400488

Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data

Andrada Tatu, Fabian Maaß, Ines Faerber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim

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	2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)
Editors	Giuseppe Santucci
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers
Pages	63-72
ISBN (Print)	978-1-4673-4752-5
DOIs	https://doi.org/10.1109/VAST.2012.6400488
Publication status	Published - 2012

Fields of Expertise

Sonstiges

Access to Document

10.1109/VAST.2012.6400488

Cite this

Tatu, A., Maaß, F., Faerber, I., Bertini, E., Schreck, T., Seidl, T., & Keim, D. A. (2012). Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. In G. Santucci (Ed.), 2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012) (pp. 63-72). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VAST.2012.6400488

Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. / Tatu, Andrada; Maaß, Fabian; Faerber, Ines et al.
2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012). ed. / Giuseppe Santucci. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 2012. p. 63-72.

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

Tatu, A, Maaß, F, Faerber, I, Bertini, E, Schreck, T, Seidl, T & Keim, DA 2012, Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. in G Santucci (ed.), 2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012). Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 63-72. https://doi.org/10.1109/VAST.2012.6400488

Tatu A, Maaß F, Faerber I, Bertini E, Schreck T, Seidl T et al. Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. In Santucci G, editor, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012). Piscataway, NJ: Institute of Electrical and Electronics Engineers. 2012. p. 63-72 doi: 10.1109/VAST.2012.6400488

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