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DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality

, , , , and . Technical Report, arXiv:2105.09275. arXiv preprint, (2021)

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An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling, , , , , , and . (2024)Predicting User Preferences of Dimensionality Reduction Embedding Quality, , , , and . IEEE Transactions on Visualization and Computer Graphics, 29 (1): 745-755 (2023)Hagrid : using Hilbert and Gosper curves to gridify scatterplots, , , , , and . Journal of visualization, 25 (6): 1291-1307 (2022)Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations, , , and . AVI '20 : Proceedings of the International Conference on Advanced Visual Interfaces, page 10. New York, Association for Computing Machinery, (2020)Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures, , , , , , , and . Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, New York, NY, USA, Association for Computing Machinery, (2022)DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality, , , , and . (2021)DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality, , , , and . Technical Report, arXiv:2105.09275. arXiv preprint, (2021)Illegible Semantics: Exploring the Design Space of Metal Logos, , , , , , and . IEEE VIS alt.VIS Workshop, (2021)VisCoDeR: A tool for visually comparing dimensionality reduction algorithms., , , and . ESANN, (2018)Predicting User Preferences of Dimensionality Reduction Embedding Quality, , , , and . IEEE Transactions on Visualization and Computer Graphics, 29 (1): 745-755 (2023)