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Models/N2D (UMAP)

N2D (UMAP)

Reported on 12 benchmarks across 1 task · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision12 results

Image ClusteringonFashion-MNIST
Accuracy· 2019-08-16
0.672
best: 0.791 (PRCut (DinoV2))
SOTA
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonFashion-MNIST
NMI· 2019-08-16
0.684
best: 0.758 (PRCut (DinoV2))
SOTA
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image Clusteringonpendigits
Accuracy· 2019-08-16
0.885
SOTA
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image Clusteringonpendigits
NMI· 2019-08-16
0.863
SOTA
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonHAR
Accuracy· 2019-08-16
0.801
best: 0.882 (FCMI)
SOTA
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonHAR
NMI· 2019-08-16
0.683
best: 0.807 (FCMI)
SOTA
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonMNIST-full
Accuracy· 2019-08-16
0.987
best: 0.992 (SPC)
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonMNIST-full
NMI· 2019-08-16
0.964
best: 0.975 (SPC)
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonUSPS
Accuracy· 2019-08-16
0.958
best: 0.984 (SPC)
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonUSPS
NMI· 2019-08-16
0.901
best: 0.954 (SPC)
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonMNIST-test
Accuracy· 2019-08-16
0.948
best: 0.987 (DynAE)
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968
Image ClusteringonMNIST-test
NMI· 2019-08-16
0.882
best: 0.963 (DynAE)
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding arXiv:1908.05968