Dimensionality Reduction on USPS (Intrinsic Metrics) benchmark leaderboard · SOTA2 Research

Dimensionality Reduction on USPS (Intrinsic Metrics)

0.0201Angular Distortion Index (Class)AngleEmbedding

Evaluation Results

Method	Links
AngleEmbedding2026.05		0.0201	0.4257	0.9895	0.724	0.2211	1.2654	0.4627	0.1372
TSNE2026.05		0.0269	0.2272	0.9878	0.8413	0.4586	0.7907	0.8908	0.8753
PaCMap2026.05		0.03	0.2341	0.9886	0.8432	0.5884	0.6649	0.8022	0.6373
UMATO2026.05		0.0301	0.2395	0.9862	0.8043	0.3215	1.9863	0.6496	0.4719
UMAP2026.05		0.0309	0.309	0.9869	0.8411	0.5798	0.6543	0.8014	0.6416
PCA2026.05		0.0367	0.264	0.9525	0.597	0.095	2.672	0.0104	-0.0011
MDS2026.05		0.0505	0.2479	0.9308	0.5908	0.029	6.151	0.0049	0
Random2026.05		0.1235	0.5126	0.7098	0.3804	-0.0182	152.1682	0.0002	-0.0001