3 papers
cs.LG2026
Measuring Distortion in the Empty Regions of Dimensionality Reduction Scatterplots with the Gap Index
Jaume Ros, Alessio Arleo, Fernando Paulovich
Quality metrics play a crucial role in the proper use of dimensionality reduction projections for visual analysis of high-dimensional data. They quantify the degree of distortion o…
cs.LG2025
Mind the Gaps: Measuring Visual Artifacts in Dimensionality Reduction
Jaume Ros, Alessio Arleo, Fernando Paulovich
Dimensionality Reduction (DR) techniques are commonly used for the visual exploration and analysis of high-dimensional data due to their ability to project datasets of high-dimensi…
cs.LG2024
When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities
Fernando Paulovich, Alessio Arleo, Stef van den Elzen
In the vast landscape of visualization research, Dimensionality Reduction (DR) and graph analysis are two popular subfields, often essential to most visual data analytics setups. D…