Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Andre Skupin"'
Autor:
R B Anderson, A Hochberg, S M Romaya, V Mesev, M Batty, B P Buttenfíeld, Tina Finneran, Jeff Janak, Laura Kracker, Alexei Naumov, Steve Parkansky, Brandon Plewe, Victor Ricci, Andre Skupin, Scott Steigerwald, Patti Trawinski, Ming-Hsiang Tsou, K Olds, J Kneale, C J Webster, W Harris
Publikováno v:
Environment and Planning B: Planning and Design. 24:625-640
Autor:
Christian Tominski, Gennady Andrienko, Natalia Andrienko, Susanne Bleisch, Sara Irina Fabrikant, Eva Mayr, Silvia Miksch, Margit Pohl, André Skupin
Publikováno v:
Visual Informatics, Vol 5, Iss 3, Pp 28-38 (2021)
Visualizing big and complex multivariate data is challenging. To address this challenge, we propose flexible visual analytics (FVA) with the aim to mitigate visual complexity and interaction complexity challenges in visual analytics, while maintainin
Externí odkaz:
https://doaj.org/article/149be2ea506b42d990bdf0ede03ce8d1
Autor:
Pragya Agarwal, Andre Skupin
Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new res
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 17, Iss C, Pp 64-82 (2018)
Study region: 918 basins in the contiguous United States. Study focus: Regional regression models were developed to predict 13 percentile flows for groups of basins clustered based on physical and climatic characteristics. The research question inves
Externí odkaz:
https://doaj.org/article/4f525abb61df4a168c9414089d1740d6
Publikováno v:
PLoS ONE, Vol 8, Iss 3, p e58779 (2013)
BackgroundWe implement a high-resolution visualization of the medical knowledge domain using the self-organizing map (SOM) method, based on a corpus of over two million publications. While self-organizing maps have been used for document visualizatio
Externí odkaz:
https://doaj.org/article/463a78a1ce244a388c64fadd27d70b25
Autor:
Kevin W Boyack, David Newman, Russell J Duhon, Richard Klavans, Michael Patek, Joseph R Biberstine, Bob Schijvenaars, André Skupin, Nianli Ma, Katy Börner
Publikováno v:
PLoS ONE, Vol 6, Iss 3, p e18029 (2011)
We investigate the accuracy of different similarity approaches for clustering over two million biomedical documents. Clustering large sets of text documents is important for a variety of information needs and applications such as collection managemen
Externí odkaz:
https://doaj.org/article/4775beca87984b2a8763ed702ced1b45
Conference
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