Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mateus Espadoto"'
Quantitative and Qualitative Comparison of 2D and 3D Projection Techniques for High-Dimensional Data
Autor:
Zonglin Tian, Xiaorui Zhai, Gijs van Steenpaal, Lingyun Yu, Evanthia Dimara, Mateus Espadoto, Alexandru Telea
Publikováno v:
Information, Vol 12, Iss 6, p 239 (2021)
Projections are well-known techniques that help the visual exploration of high-dimensional data by creating depictions thereof in a low-dimensional space. While projections that target the 2D space have been studied in detail both quantitatively and
Externí odkaz:
https://doaj.org/article/919ee9a3385b42c4a282ffbeb0433b71
Publikováno v:
Information, Vol 10, Iss 9, p 280 (2019)
Visualizing decision boundaries of machine learning classifiers can help in classifier design, testing and fine-tuning. Decision maps are visualization techniques that overcome the key sparsity-related limitation of scatterplots for this task. To inc
Externí odkaz:
https://doaj.org/article/d2245d1721684f66b226a2f50f902967
Autor:
Ashley Suh, Mateus Espadoto, Gabriel Appleby, Remco Chang, Erik W. Anderson, Carlos Scheidegger, Mingwei Li, Dylan Cashman, Alexandru Telea
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 29:1559-1572
Projection techniques are often used to visualize high-dimensional data, allowing users to better understand the overall structure of multi-dimensional spaces on a 2D screen. Although many such methods exist, comparably little work has been done on g
Publikováno v:
SN Computer Science, 4(3):244
Dimensionality reduction (DR) methods create 2D scatterplots of high-dimensional data for visual exploration. As such scatterplots are often used to reason about the cluster structure of the data, this requires DR methods with good cluster preservati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2da7fd07f22b1c13c334faacf4c3543
https://research.rug.nl/en/publications/ac2579c0-c618-460b-b955-33b3534d1148
https://research.rug.nl/en/publications/ac2579c0-c618-460b-b955-33b3534d1148
Publikováno v:
SN Computer Science. 4
Publikováno v:
SN Computer Science. 4
Autor:
Artur André A. M. Oliveira, Mateus Espadoto, Roberto Hirata, Nina S. T. Hirata, Alexandru C. Telea
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031254765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f220872c4c9eacf7bc25148776925d0
https://doi.org/10.1007/978-3-031-25477-2_7
https://doi.org/10.1007/978-3-031-25477-2_7
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, 63-76
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, 63-76
Dimensionality reduction (DR) methods aim to map high-dimensional datasets to 2D scatterplots for visual exploration. Such scatterplots are used to reason about the cluster structure of the data, so creating well-separated visual clusters from existi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f19b0eaffc5bb51bdb6f97e5a341cfa3
https://doi.org/10.5220/0010820900003124
https://doi.org/10.5220/0010820900003124
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030948924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be80c02af37d401ca632eae442ad7f80
https://doi.org/10.1007/978-3-030-94893-1_6
https://doi.org/10.1007/978-3-030-94893-1_6
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.