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Information Theoretical Estimators 0.37

by szzoli - May 12, 2013, 15:35:39 CET [ ] 10036 views, 2042 downloads, 1 subscription

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.

Authors: Zoltan Szabo
License: Gpl Version 3 Or Later
Programming Language: Matlab, Octave

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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Information Theoretical Estimators 0.37