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SotA/Computer Vision/Image Clustering/MNIST-test

Image Clustering on MNIST-test

Metric: NMI (higher is better)

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#Model↕NMI▼Extra DataPaperDate↕Code
1DynAE0.963NoDeep Clustering with a Dynamic Autoencoder: From...2019-01-23Code
2DTI-Clustering0.947NoDeep Transformation-Invariant Clustering2020-06-19Code
3DDC-DA0.927NoDeep Density-based Image Clustering2018-12-11Code
4PSSC0.919NoScattering Transform Based Image Clustering usin...2020-11-23Code
5DDC0.916NoDeep Density-based Image Clustering2018-12-11Code
6OURS-RC0.915NoJoint Unsupervised Learning of Deep Representati...2016-04-13Code
7GDL0.91NoGraph Degree Linkage: Agglomerative Clustering o...2012-08-25Code
8AE+SNNL0.903NoImproving k-Means Clustering Performance with Di...2020-06-05Code
9N2D (UMAP)0.882NoN2D: (Not Too) Deep Clustering via Clustering th...2019-08-16Code
10SR-K-means0.873NoDeep clustering: On the link between discriminat...2018-10-09Code
11AGDL0.844NoGraph Degree Linkage: Agglomerative Clustering o...2012-08-25Code