General Line Coordinates in 3D

arXiv:2403.13014v1 Announce Type: cross
Abstract: Interpretable interactive visual pattern discovery in lossless 3D visualization is a promising way to advance machine learning. It enables end users who are not data scientists to take control of the model development process as a self-service. It is conducted in 3D General Line Coordinates (GLC) visualization space, which preserves all n-D information in 3D. This paper presents a system which combines three types of GLC: Shifted Paired Coordinates (SPC), Shifted Tripled Coordinates (STC), and …

abstract advance arxiv control cs.gr cs.hc cs.lg data data scientists development discovery end users general interactive line machine machine learning model development process scientists self-service service space type visual visualization