Contrastive independent component analysis for salient patterns and dimensionality reduction

Proceedings of the National Academy of Sciences, volume 122, number 50, December 2025.
ImportanceData visualization and finding patterns in data are pervasive problems in science. Increasingly, applications are looking for signal and structure in a contrasting framework: a foreground data set versus a background data set. The goal is to learn…