Visual-assisted Outlier Preservation for Scatterplot Sampling
| dc.contributor.author | Yang, Haiyan | en_US |
| dc.contributor.author | Pajarola, Renato | en_US |
| dc.contributor.editor | Guthe, Michael | en_US |
| dc.contributor.editor | Grosch, Thorsten | en_US |
| dc.date.accessioned | 2023-09-25T11:38:06Z | |
| dc.date.available | 2023-09-25T11:38:06Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Scatterplot sampling has long been an efficient and effective way to resolve the overplotting issues commonly occurring in large-scale scatterplot visualization applications. However, it is challenging to preserve the existence of low-density points or outliers after sampling for a sub-sampling algorithm if, at the same time, faithfully representing the relative data densities is of importance. In this work, we propose to address this issue in a visual-assisted manner. While the whole dataset is sub-sampled, the density of the outliers is modeled and visually integrated into the final scatterplot together with the sub-sampled point data. We showcase the effectiveness of our proposed method in various cases and user studies. | en_US |
| dc.description.sectionheaders | Image Visualization and Analysis | |
| dc.description.seriesinformation | Vision, Modeling, and Visualization | |
| dc.identifier.doi | 10.2312/vmv.20231233 | |
| dc.identifier.isbn | 978-3-03868-232-5 | |
| dc.identifier.pages | 115-121 | |
| dc.identifier.pages | 7 pages | |
| dc.identifier.uri | https://doi.org/10.2312/vmv.20231233 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/vmv20231233 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Human-centered computing → Information visualization; Visualization techniques | |
| dc.subject | Human | |
| dc.subject | centered computing → Information visualization | |
| dc.subject | Visualization techniques | |
| dc.title | Visual-assisted Outlier Preservation for Scatterplot Sampling | en_US |
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