> what an "appropriate" ML approach would be for this kind of problem?
I still don't understand what problem you are trying to solve
> A user has to visually examine a density plot to determine if a population
> (density point) exists at a specific location on the plot.
1 2
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if hist[x][y] > tol:
return true
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¿what's a density point?
> 80% success rate
I'll repeat the question, ¿what's the success criterion?
> i have n channels of data (...) generally we create a plot from two
> histograms (...) A user has to visually examine to determine if a population
> exists at a specific location
you are describing your current "manual" solution, not the problem that you're trying to solve
¿what's the user looking for? ¿cluster separation? ¿is it necessary to limit to 2d?
> I tried training googles Inception with a few hundred images
the number of test cases depends on the complexity of the nn used, the input variables and the problem complexity
«a few hundred» sounds small