Understanding the relationship between urban locations is an essential task in urban planning and transportation management. Whereas prior works have focused on studying urban locations by aggregating location-based properties, our scheme preserves …
Similarity measuring methods are widely adopted in a broad range of visualization applications. In this work, we address the challenge of representing human perception in the visual analysis of scatterplots by introducing a novel deep-learning-based …
Many approaches for analyzing a high-dimensional dataset assume that the dataset contains specific structures, e.g., clusters in linear subspaces or non-linear manifolds. This yields a trial-and-error process to verify the appropriate model and …