Group Mutual Information

The node computes the mutual information between two specified groups for a selected subset of parameter. Typically, in Hight Content Screening, a parameters quality can be judged by the mutual information between the library measurements and the reference measurments. the lower the mutual information value the more independent the distributions and thus the Library carries information the reference does not. The mutual information algorithm is a histogram based approach implemented according: "Moddemeijer R., A statistic to estimate the variance of the histogram based mutual information estimator based on dependent pairs of observations , Signal Processing, 1999, vol. 75, nr. 1, pp. 51-63"

Input ports

1. Type: Table
   input
   input table

Output ports

1. Type: Table
   output: list
   mutual information table