Classifiers, which are studied in AI and cognitive science, often employ similarity metrics
Realized in R-Statistics, Python, and C++
Finding out which similarity metric leads to human-like classification performance.
Classifying objects—assigning them to a category—is a common issue for AI and humans. Often it is addressed by computation of pairwise similarities between to-be-classified and already-classified objects. Similarity, however, can be computed in various ways. This project tests different mathematical similarities in classifiers.
You can read the scientific paper on PsychArXiv.