A clusterwise supervised learning procedure based on aggregation of distances

Aurélie Fisher, Mathilde Mougeot, Sothea Has

Nowadays, many machine learning procedures are available on the shelve and may be used easily to calibrate predictive models on supervised data. However, when the input data consis…