Tanimoto similarity

Tanimoto similarity is a measure used to compare two sets of things, such as chemical molecules or data patterns, to see how similar they are. It’s calculated by taking the size of the overlap—the items they share—and dividing it by the total number of unique items in both sets combined. The result ranges from 0, meaning no commonality, to 1, meaning identical. It helps identify how closely related two items are based on their features, making it useful in areas like chemistry, data analysis, and machine learning for matching or classifying objects.