What is Fréchet inception distance (FID)? - Dataconomy
Fréchet Inception Distance (FID) is a metric that quantifies the quality and diversity of images generated by GANs by comparing feature representations.
distance-metrics
What is Hellinger distance? - Dataconomy
Hellinger Distance is a statistical measure that quantifies the similarity between two probability distributions, useful in data analysis and machine learning applications.
Introduction of Four Types of Item Similarity Measures
Covers how to choose the similarity measure when item embeddings are available
9 Distance Measures in Data Science
The advantages and pitfalls of common distance measures