2 papers
cs.LG2025
"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly
Kiran Smelser, Jacob Miller, Stephen Kobourov
Stress is among the most commonly employed quality metrics and optimization criteria for dimension reduction projections of high dimensional data. Complex, high dimensional data is…
cs.LG2025
How Scale Breaks "Normalized Stress" and KL Divergence: Rethinking Quality Metrics
Kiran Smelser, Kaviru Gunaratne, Jacob Miller +1
Complex, high-dimensional data is ubiquitous across many scientific disciplines, including machine learning, biology, and the social sciences. One of the primary methods of visuali…