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. 2015 Nov 1;22(11):1005–1024. doi: 10.1089/cmb.2015.0051

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© The Author(s) 2015; Published by Mary Ann Liebert, Inc.

This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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FIG. 4. — Effect of data set size on information measured by (a) mutual information, (b) , and (c) . The points of the curves are computed by applying the corresponding measures to a set of selected tuples (see legend). Instead of using the entire set of 5000 samples from Example 1, the measurement is computed on a randomly selected subset. The process of randomly selecting a subset of samples is repeated 100 times for each subset size and the average and standard deviation are plotted. The x-axis shows the subset size for corresponding values of the measures and ranges from 100 to 5,000 with an increment of 100 samples. Additionally, each black curve is an average across all tuples that were not selected (the background), and the error bars are maximal standard deviation across these tuples.

Inline graphic — Effect of data set size on information measured by (a) mutual information, (b) , and (c) . The points of the curves are computed by applying the corresponding measures to a set of selected tuples (see legend). Instead of using the entire set of 5000 samples from Example 1, the measurement is computed on a randomly selected subset. The process of randomly selecting a subset of samples is repeated 100 times for each subset size and the average and standard deviation are plotted. The x-axis shows the subset size for corresponding values of the measures and ranges from 100 to 5,000 with an increment of 100 samples. Additionally, each black curve is an average across all tuples that were not selected (the background), and the error bars are maximal standard deviation across these tuples.