So on the basis of interaction information, we propose to extend MIC into the context of multivariate correlation analysis. From the results of simulative ...
So on the basis of interaction information, we propose to extend MIC into the context of multivariate correlation analysis. From the results of simulative ...
From the results of simulative experiments, the proposed method can detect a wide range of associations by assigning 1 to noiseless functional data sets and ...
Maximal Information Coefficient (MIC) is a novel bivariate correlation analysis method that attracts a lot of attention from various research fields, ...
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An Extension of MIC for Multivariate Correlation Analysis Based on Interaction Information. Zhang, Zi-Xuan;Hao, Wen-ning;Chen, Gang;Chen ...
An Extension of MIC for Multivariate Correlation Analysis Based on Interaction Information. Conference Paper. Dec 2018. Zi-Xuan Zhang · Wen-Ning Hao · Gang Chen ...
That is, maximal correlation analysis discovers correlations in the data by searching for the transformations of the Xi's that maximize their correlation ( ...
An adaptive algorithm, named Adaptive-MIC, is presented which can deal with not only relationships of pairs of variables, but also multi-variable ...
In this paper, we propose an unbiased multivariate correlation measure, called UMC, which satisfies all the above criteria. UMC is a cumulative entropy based ...