U^m Classification

A simple demo for the paper "Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification"

Requirements

• Python 3
• Numpy 1.19.2
• Keras 2.4.3
• Tensorflow 2.2.0
• Matplotlib 3.3.4
• Seaborn 0.11.1

A Demo for MNIST dataset

You can run an example code of U^m-SSC method on MNIST dataset and spcify the number of U sets.

python experiment.py --dataset mnist --sets 20

The output will be in the folder ./output_SSC/mnist/m, where m is the number of set of this run.