I have a varying size model of the dimensions (L x nx)
L = number of data points
nx = number of variables per data point
In the algorithm that I am using, it moves the data around to support a search of the data space.
A small example could be this:
x = [1,2;3,4;5,6];
xnew = x(id);
Now while this isn't too difficult, my state "x" is in reality a tall matrix.
xtall = tall(x);
xnewtall = x(id);
Does anyone know how to do this without having to do every individual point independently?