1

You can get a dendrogram from any hierarchical clustering method. The tricky thing here is how to compute the distances between the words. If efficiency is your main concern, I would consider using HDBSCAN clustering. The Jaro-Winkler distance was originally designed for such tasks. There is an efficient implementation in the python Levenshtein package, but ...


Only top voted, non community-wiki answers of a minimum length are eligible