In statistics, the maximal information coefficient (MIC) is a measure of the strength of the linear or non-linear association between two variables X and Y. In the linear case, MIC reduces to r, the Pearson coefficient.[1]
The MIC belongs to the maximal information-based nonparametric exploration (MINE) class of statistics.[2] MIC outperforms competing methods when it comes to "generality" and "equitability"[3]