Manifold Learning Embedding on Swiss roll (non-uniform (Beta(1, 4)) sampling) benchmark leaderboard · SOTA2 Research

Manifold Learning Embedding on Swiss roll (non-uniform (Beta(1, 4)) sampling)

0.995Trustworthinesst-SNE

Evaluation Results

Method	Links
t-SNE2026.07		0.995	0.988	0.887	0.862
UMAP2026.07		0.992	0.967	0.751	0.733
Shortest Path2026.07		0.991	0.972	0.899	0.882
MDS2026.07		0.986	0.974	0.88	0.865
EntroPath2026.07		0.981	0.985	0.875	0.855
Isomap2026.07		0.976	0.994	0.918	0.899
PCA2026.07		0.968	0.993	0.876	0.862
Diffusion Maps2026.07		0.957	0.976	0.725	0.726
Laplacian Eigenmaps2026.07		0.949	0.976	0.716	0.721
DTNE2026.07		0.949	0.987	0.805	0.789
PHATE2026.07		0.945	0.984	0.741	0.737
HeatGeo2026.07		0.943	0.983	0.714	0.707