About:
ITE (Information Theoretical Estimators) is capable of estimating many different variants of entropy, mutual information, divergence, association measures and cross quantities. Thanks to its highly modular design, ITE supports additionally (i) the combinations of the estimation techniques, (ii) the easy construction and embedding of novel information theoretical estimators, and (iii) their immediate application in information theoretical optimization problems.
Changes:
K divergence estimation: added,
L divergence estimation: added,
kNN squared distance computation: refined.
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- Operating System:
Linux,
Windows
- Data Formats:
Matlab,
Octave
- Tags:
Entropy,
Mutual Information,
Divergence,
Independent Subspace Analysis,
Separation Principles,
Independent Process Analysis,
Association Measure,
Measure Of Concordance,
Measure Of Independence,
Nonparametric Estimation
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