Equitability and MIC: an FAQ
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چکیده
The original paper on equitability and the maximal information coefficient (MIC) [Reshef et al., 2011] has generated much discussion and interest, and so far MIC has enjoyed use in a variety of disciplines. This document serves to provide some basic background and understanding of MIC as well as to address some of the questions raised about MIC in the literature, and to provide pointers to relevant supporting work.
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Theoretical Foundations of Equitability and the Maximal Information Coefficient
The maximal information coefficient (MIC) is a tool for finding the strongest pairwise relationships in a data set with many variables [1]. MIC is useful because it gives similar scores to equally noisy relationships of different types. This property, called equitability, is important for analyzing high-dimensional data sets. Here we formalize the theory behind both equitability and MIC in the ...
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