-
2
-
-
78650944088
-
Dimstiller: Work flows for dimensional analysis and reduction
-
IEEE
-
Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, and T Möller. Dimstiller: Work flows for dimensional analysis and reduction. In Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on, pages 3-10. IEEE, 2010.
-
(2010)
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
, pp. 3-10
-
-
Ingram, S.1
Munzner, T.2
Irvine, V.3
Tory, M.4
Bergner, S.5
Möller, T.6
-
3
-
-
84880820335
-
Customizing computational methods for visual analytics with big data
-
Jaegul Choo and Haesun Park. Customizing computational methods for visual analytics with big data. Computer Graphics and Applications, IEEE, 33(4):22-28, 2013.
-
(2013)
Computer Graphics and Applications, IEEE
, vol.33
, Issue.4
, pp. 22-28
-
-
Choo, J.1
Park, H.2
-
4
-
-
68549083629
-
IPCA: An interactive system for PCA-based visual analytics
-
Dong Hyun Jeong, Caroline Ziemkiewicz, Brian Fisher, William Ribarsky, and Remco Chang. ipca: An interactive system for pca-based visual analytics. Computer Graphics Forum, 28(3):767-774, 2009.
-
(2009)
Computer Graphics Forum
, vol.28
, Issue.3
, pp. 767-774
-
-
Jeong, D.H.1
Ziemkiewicz, C.2
Fisher, B.3
Ribarsky, W.4
Chang, R.5
-
5
-
-
84872960946
-
Dis-function: Learning distance functions interactively
-
IEEE
-
Eli T Brown, Jingjing Liu, Carla E Brodley, and Remco Chang. Dis-function: Learning distance functions interactively. In Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on, pages 83-92. IEEE, 2012.
-
(2012)
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
, pp. 83-92
-
-
Brown, E.T.1
Liu, J.2
Brodley, C.E.3
Chang, R.4
-
7
-
-
77949507946
-
Information retrieval perspective to nonlinear dimensionality reduction for data visualization
-
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, and Samuel Kaski. Information retrieval perspective to nonlinear dimensionality reduction for data visualization. The Journal of Machine Learning Research, 11:451-490, 2010.
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 451-490
-
-
Venna, J.1
Peltonen, J.2
Nybo, K.3
Aidos, H.4
Kaski, S.5
-
8
-
-
84875853602
-
Improving projection-based data analysis by feature space transformations
-
International Society for Optics and Photonics
-
Matthias Schaefer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John A Lee, Michel Verleysen, and Daniel A Keim. Improving projection-based data analysis by feature space transformations. In IS&T/SPIE Electronic Imaging, pages 86540H-86540H. International Society for Optics and Photonics, 2013.
-
(2013)
IS&T/SPIE Electronic Imaging
, pp. 86540H-86540H
-
-
Schaefer, M.1
Zhang, L.2
Schreck, T.3
Tatu, A.4
Lee, J.A.5
Verleysen, M.6
Keim, D.A.7
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