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 each data point has a great number of attributes then one can choose the ones that seem to be connected to each other.
This is probably done most simply using Pearsons R-coefficient. (But that is usually used for linear stuff, do we might need something more complex)
ViktorWase
commented
9 years ago
If each data point has a great number of attributes then one can choose the ones that seem to be connected to each other. This is probably done most simply using Pearsons R-coefficient. (But that is usually used for linear stuff, do we might need something more complex)