Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data.

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0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.47

0.1.46

0.1.45

0.1.44

0.1.43

0.1.42

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

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0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

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