<scp>MapExplorer</scp> : New Content Generation from Low-Dimensional Visualizations
Low-dimensional visualizations, or "projection maps" are widely used in scientific research and creative industries to interpret largescale and complex datasets.These visualizations not only support the understanding of existing knowledge spaces but are often used implicitly to guide exploration into unknown areas.While such visualizations can be created through various methods such as TSNE or UMAP, there is no systematic way to leverage them for
Authors
- Dongsub Shim
- Tolga Ergen (ORCID: https://orcid.org/0000-0003-4806-0224)
- Qiaozhu Mei (ORCID: https://orcid.org/0000-0002-8640-1942)
- Hua Xu (ORCID: https://orcid.org/0000-0002-5274-4672)
- Yutong Xie (ORCID: https://orcid.org/0000-0003-3861-6778)
- Ziyang Xiong (ORCID: https://orcid.org/0009-0007-8733-7667)
- Xingjian Zhang (ORCID: https://orcid.org/0009-0001-0716-3449)
- Honglak Lee (ORCID: https://orcid.org/0000-0002-4109-327X)
- Sili Liu
Institutions
- University of Michigan (US)
- Yale University (US)
- Michigan Medicine (US)
Publication Details
- Published
- 2025-08-03
- DOI
- https://doi.org/10.1145/3711896.3737038
- Primary Topic
- Data Management and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00