Frank is a bot that does science. He takes a dataset and forms hypothesises about mathematical constants (aka conservation laws) of the data. He then tests the hypothesis.
If the data base is large in the sense that each data point has many attributes, then we need to filter out the ones that aren't important.
This could probably be done by using some sort of PCA and then choose a few of the new parameters. (This will unfortunately destroy any notion of units)
If the data base is large in the sense that each data point has many attributes, then we need to filter out the ones that aren't important.
This could probably be done by using some sort of PCA and then choose a few of the new parameters. (This will unfortunately destroy any notion of units)