Geometric organization of olfactory descriptor data in the Poincaré disk
Odor quality is commonly represented using high dimensional descriptor profiles, yet their low dimensional organization remains unclear. We investigated whether a two-dimensional hyperbolic embedding can provide an interpretable representation of this structure. We applied hyperbolic metric multidimensional scaling to two complementary datasets: 480 Sagar rating profiles from three participants rating 160 odorants on 15 continuous descriptors, and 4983 GoodScents--Leffingwell molecules annotated with 138 binary descriptors. The embeddings substantially preserved pairwise descriptor distances, supporting subsequent analyses of radial and angular organization. In Sagar, rating profile entro...
| Authors | Aniss Aiman Medbouhi, Farzaneh Taleb, Giovanni Luca Marchetti et al. |
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| Primary category | cs.CE |
| Published | 9 September 2026 |
| Last updated at source | 9 September 2026 |
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