I am trying to generalize solutions to problems which have a high dimensionality (6-10 variable quantities). I have been using a hypercube approach to select spread of data points and have taken vortices and mid-sides of the hypercubes but this does not generalize the solution accurately enough. Any suggests or good references to data point spread requirements are very welcome.

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