Creating exhaustive spatial region in design space
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I am working with high-dimensional input data of the order of 20, and having nearly 4000 sample points. The response dimension is 1. I want to create spatial regions in my domain space but it should be exhaustive and non-overlapping. Delaunay triangulations look like a perfect solution but its just not possible to construct them in high-dimensions due to storage issues. I thought of constructing large grids too but again, even if I have 2 bins per dimension, I end up with 2^20 grids for 20-dimensional data. Is there any alternative to address this curse of dimensionality so that I can obtain regions computationally efficiently. In the worst case, I may even consider overlapping geometries, and/or non-exhaustive design.
By exhaustive, I mean each sample point is part of some geometrical region.
0 commentaires
Réponses (0)
Voir également
Catégories
En savoir plus sur Delaunay Triangulation dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!