Question

classify distances by their causes​

Answer 1

Answer:

Many algorithms, whether supervised or unsupervised, make use of distance measures. These measures, such as euclidean distance or cosine similarity, can often be found in algorithms such as k-NN, UMAP, HDBSCAN, etc. ... As a default, it often uses euclidean distance

Answer 2

The notion of distance is the most important basis for classification. This is especially true for unsupervised learning