Abstract 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 required to get its computation cost in a reasonable proportion to the task itself. This step is succeeded by construction of an information graph of the underlying classification patterns using approxim... https://wholesfoodsboxs.shop/product-category/desserts/