Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations
The framework introduces 'alike parts,' a method using feature importance scores to highlight shared, relevant features between an instance and its nearest prototype for local explanations. It also augments global prototype selection by including a feature importance term, promoting diversity in selected prototypes. This dual approach aims to improve both user attention and the quality of the global prototype set.