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Benchmarks
Dimensionality Reduction on MNIST
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0.277
KL Divergence (0.01)
TSNE
0.26328
0.35589
0.4485
0.54111
Jun 3, 2019
KL Divergence (0.01)
KL Divergence (0.1)
KL Divergence (1)
MRRE (1-NN)
Continuity (1-NN)
Trustworthiness (1-NN)
RMSE (1-NN)
Data MSE
Updated 4d ago
Evaluation Results
Method
Method
Links
KL Divergence (0.01)
KL Divergence (0.1)
KL Divergence (1)
MRRE (1-NN)
Continuity (1-NN)
Trustworthiness (1-NN)
RMSE (1-NN)
Data MSE
TSNE
2019.06
0.277
0.133
0.0021
0.04
0.921
0.946
22.9
-
UMAP
2019.06
0.321
0.146
0.0023
0.051
0.94
0.938
14.6
-
TopoAE
2019.06
0.341
0.11
0.0011
0.056
0.932
0.928
19.6
0.1388
PCA
2019.06
0.389
0.163
0.0016
0.166
0.901
0.745
13.2
0.2227
AE
2019.06
0.62
0.155
0.0016
0.058
0.913
0.937
18.2
0.1373
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