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SotA/Computer Vision/Image Clustering/MNIST-test

Image Clustering on MNIST-test

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1DynAE0.987NoDeep Clustering with a Dynamic Autoencoder: From...2019-01-23Code
2DTI-Clustering0.978NoDeep Transformation-Invariant Clustering2020-06-19Code
3DDC-DA0.97NoDeep Density-based Image Clustering2018-12-11Code
4PSSC0.967NoScattering Transform Based Image Clustering usin...2020-11-23Code
5DDC0.965NoDeep Density-based Image Clustering2018-12-11Code
6AE+SNNL0.962NoImproving k-Means Clustering Performance with Di...2020-06-05Code
7N2D (UMAP)0.948NoN2D: (Not Too) Deep Clustering via Clustering th...2019-08-16Code
8SR-K-means0.863NoDeep clustering: On the link between discriminat...2018-10-09Code