Similarity encoding for learning with dirty categorical variables

Patricio Cerda, Gaël Varoquaux, Balázs Kégl

For statistical learning, categorical variables in a table are usually considered as discrete entities and encoded separately to feature vectors, e.g., with one-hot encoding. "Dirt…