Dataset for "A fast dictionary-learning-based classification scheme using undercomplete dictionaries"

This dataset contains a preprocessed version of the publicly available MNIST handwritten digit dataset, formatted for use in the research paper "A fast dictionary-learning-based classification scheme using undercomplete dictionaries".The data has been converted into vector form and sorted into `.mat` files by class label, ranging from 0 to 9. The files are formated as training and testing where the training data has X_train as vectorized images and Y_train as the corresponding labels and X_test and Y_test as the image and labels for testing dataset.**Contents:**X_train_vector_sort_MNISTY_train_MNISTX_test_vector_MNISTY_test_MNIST**Usage:**The dataset is intended for direct use with the code available at:https://github.com/saeedmohseni97/fast-udl-classification