The maximal information coefficient (MIC) captures both linear and nonlinear correlations between variable pairs. In this paper, we proposed the BackMIC algorithm for MIC estimation. The BackMIC algorithm adds a searching back process on the equipartitioned axis to obtain a better grid partition than the original implementation algorithm ApproxMaxMI. And similar to the ChiMIC algorithm, it terminates the grid search process by the chi(2)-test instead of the maximum number of bins B(n, alpha). Results on simulated data show that the BackMIC algorithm maintains the generality of MIC, and gives m...
