High Performance Computing with Python – Part 03
From the post:
In this series we will analyze how to optimize the statistical Spearman Rank’s Correlation coefficient, which it is a particular measure used to compute the similarity between items in recommender systems and assesses how well the relationship between two variables can be described using a monotonic function. The source code for this metric can be found in the first post.
Great series and all the greater for covering measures of similarity between items. If something becomes similar enough, it could be considered to be the same thing.