GitHub / spyros-briakos / Autoencoder-Dimensionality-Reduction
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.
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Language: C++
Size: 16.2 MB
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Created at: over 4 years ago
Updated at: about 4 years ago
Pushed at: about 4 years ago
Last synced at: over 1 year ago
Topics: approximate-nearest-neighbor-search, autoencoder, bottleneck, clustering, dimensionality-reduction, earth-movers-distance, lsh-algorithm, manhattan-distance, mnist-dataset