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Diffusion maps
Ronald R. Coifman, Stéphane Lafon, 2006. Applied and Computational Harmonic Analysis.
Introduces diffusion maps, which embed data in a few dimensions using the eigenvectors of a random walk on a similarity graph, so that distances reflect the data's geometry at a chosen scale.
What it's used for here
The emerging-methods survey lists it as an untried way to embed pages or lines, with no Voynich application found.
Cited by on this site 1 record
1 methods surveys
SRCMathematics
Cite it
Coifman, R. R., & Lafon, S. (2006). Diffusion maps. Applied and Computational Harmonic Analysis. https://doi.org/10.1016/j.acha.2006.04.006
@article{coifman2006diffusion,
author = {Coifman, Ronald R. and Lafon, Stéphane},
title = {Diffusion maps},
journal = {Applied and Computational Harmonic Analysis},
year = {2006},
doi = {10.1016/j.acha.2006.04.006},
url = {https://doi.org/10.1016/j.acha.2006.04.006}
}TY - JOUR TI - Diffusion maps AU - Coifman, Ronald R. AU - Lafon, Stéphane PY - 2006 JO - Applied and Computational Harmonic Analysis DO - 10.1016/j.acha.2006.04.006 UR - https://doi.org/10.1016/j.acha.2006.04.006 ER -
Coifman, Ronald R. and Stéphane Lafon. “Diffusion maps.” Applied and Computational Harmonic Analysis (2006). https://doi.org/10.1016/j.acha.2006.04.006.