  This paper presents TRACE, a tool to analyze the quality of 2D embeddings
generated through dimensionality reduction techniques. Dimensionality reduction
methods often prioritize preserving either local neighborhoods or global
distances, but insights from visual structures can be misleading if the
objective has not been achieved uniformly. TRACE addresses this challenge by
providing a scalable and extensible pipeline for computing both local and
global quality measures. The interactive browser-based interface allows users
to explore various embeddings while visually assessing the pointwise embedding
quality. The interface also facilitates in-depth analysis by highlighting
high-dimensional nearest neighbors for any group of points and displaying
high-dimensional distances between points. TRACE enables analysts to make
informed decisions regarding the most suitable dimensionality reduction method
for their specific use case, by showing the degree and location where structure
is preserved in the reduced space.
