A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training

Sumedh Yadav, Mathis Bode

A scalable graphical method is presented for selecting, and partitioning datasets for the training phase of a classification task. For the heuristic, a clustering algorithm is requ…