4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.HC2025
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo +6
Visual analytics using dimensionality reduction (DR) can easily be unreliable for various reasons, e.g., inherent distortions in representing the original data. The literature has…
cs.HC2023
VisActs: Describing Intent in Communicative Visualization
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma
Data visualization can be defined as the visual communication of information. One important barometer for the success of a visualization is whether the intents of the communicator(…
cs.LG2023★ 4 cited
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction
Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit +2
A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embedd…