Timeline for Formalism for moving from a metric space into a vector space for mathematical/statistical modeling given a data
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Jan 19, 2014 at 12:27 | comment | added | Rajesh D | moreover I am interested in $||.||_2$ norm than supremum norm. | |
| Jan 19, 2014 at 6:49 | comment | added | Rajesh D | Here $f_x(y)$ is approximated by $$x_v = [d(x,K_1),d(x,K_2),....d(x,K_N)]$$ by choosing to consider distances from $x$ to only certain points $K_i$ and these points are selected by clustering. I'd like some help in putting this approximation in rigorous mathematical terms, to see if I am missing anything crucial. | |
| Jan 19, 2014 at 6:34 | comment | added | Rajesh D | How can I represent my finite data points in the metric space and also clustering, Can i consider some sort of molecules, like they are considered for Arens-Eells space. Appreciate your help in this regard. | |
| Jan 18, 2014 at 8:21 | history | answered | Piero D'Ancona | CC BY-SA 3.0 |