Abstract | ||
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We present Joint t-Stochastic Neighbor Embedding (Joint t-SNE), a technique to generate comparable projections of multiple high-dimensional datasets. Although t-SNE has been widely employed to visualize high-dimensional datasets from various domains, it is limited to projecting a single dataset. When a series of high-dimensional datasets, such as datasets changing over time, is projected independe... |
Year | DOI | Venue |
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2022 | 10.1109/TVCG.2021.3114765 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Visualization,Task analysis,Optimization,Time measurement,Position measurement,Gain measurement,Distortion | Journal | 28 |
Issue | ISSN | Citations |
1 | 1077-2626 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yinqiao Wang | 1 | 2 | 1.72 |
Lu Chen | 2 | 0 | 0.34 |
Jaemin Jo | 3 | 54 | 7.35 |
Yunhai Wang | 4 | 201 | 23.17 |