A Perception-Driven Approach to Supervised Dimensionality Reduction for Visualization
Dimensionality reduction (DR) is a common strategy for visual analysis of labeled high-dimensional data. Low-dimensional representations of the data help, for instance, to explore the class separability and the spatial distribution of the data. Widely-used unsupervised DR methods like PCA do not aim...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 24(2018), 5 vom: 10. Mai, Seite 1828-1840
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| 1. Verfasser: |
Wang, Yunhai
(VerfasserIn) |
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| Weitere Verfasser: |
Feng, Kang,
Chu, Xiaowei,
Zhang, Jian,
Fu, Chi-Wing,
Sedlmair, Michael,
Yu, Xiaohui,
Chen, Baoquan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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