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joint-cluster-cnn

An unofficial implementation of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters) in TensorFlow.

File Structure

Main class: joint_cluster_cnn.py

Test file: test.py

Results

Dataset MNIST-test USPS COIL-20 COIL-100 UMist
JC-NL 0.849 0.883 0.904 - 0.750
JC-SF 0.861/0.876 0.875/0.858 0.967/1.000 0.978 0.840/0.880
JC-RC 0.900/0.915 0.944/0.913 0.983/1.000 0.985 0.849/0.877
OURS-NL 0.841 0.911 0.933 0.957 0.767
OURS-SF 0.859 0.901 0.956 0.964 0.945
OURS-RC 0.888 0.921 0.964 0.915 0.941

About

A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).

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