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Manifold Learning on Sparse tree synthetic B=6, l=500

0.997Trustworthiness

t-SNE

Updated 17d ago

Evaluation Results

Method	Links
t-SNE 2026.07		0.997	0.994	0.734	0.769	0.389
UMAP 2026.07		0.996	0.987	0.582	0.6	0.418
HeatGeo 2026.07		0.992	0.993	0.77	0.808	0.428
EntroPath 2026.07		0.991	0.993	0.869	0.884	0.374
DTNE 2026.07		0.989	0.992	0.859	0.874	0.398
Shortest Path 2026.07		0.984	0.964	0.835	0.847	0.328
Diffusion Maps 2026.07		0.98	0.991	0.767	0.758	0.331
PHATE 2026.07		0.98	0.989	0.404	0.5	0.246
Laplacian Eigenmaps 2026.07		0.979	0.99	0.77	0.762	0.326
Isomap 2026.07		0.97	0.986	0.796	0.812	0.277
MDS 2026.07		0.969	0.967	0.748	0.772	0.306
PCA 2026.07		0.937	0.975	0.717	0.74	0.264