Data-Driven Soft Discriminant Maps: Class-aware Linear Feature Extraction in Imaging Mass Spectrometry

Retrieving actionable information from large datasets is increasingly computationally expensive due to the current trend of ever-increasing dataset sizes. Reducing dataset sizes with dimensionality reduction techniques is often necessary for statistical analysis techniques, such as classification, to be computationally feasible. Most...