Manifold Learning on Dense tree (B=20, l=100, R^100, sigma=4.0) benchmark leaderboard · SOTA2 Research

Manifold Learning on Dense tree (B=20, l=100, R^100, sigma=4.0)

0.989TrustworthinessUMAP

Evaluation Results

Method	Links
UMAP2026.07		0.989	0.972	0.606	0.618	0.48
t-SNE2026.07		0.989	0.975	0.628	0.669	0.468
HeatGeo2026.07		0.953	0.973	0.74	0.757	0.191
Diffusion Maps2026.07		0.893	0.962	0.701	0.682	0.074
Laplacian Eigenmaps2026.07		0.892	0.962	0.697	0.674	0.061
EntroPath2026.07		0.879	0.953	0.785	0.787	0.019
DTNE2026.07		0.872	0.962	0.829	0.827	-0.006
Shortest Path2026.07		0.843	0.879	0.751	0.746	-0.035
Isomap2026.07		0.82	0.943	0.711	0.723	-0.021
MDS2026.07		0.812	0.856	0.65	0.647	-0.071
PCA2026.07		0.807	0.926	0.621	0.642	-0.02
PHATE2026.07		0.779	0.916	0.349	0.405	-0.106