Kullback
A Wrapper for jMEF Libraryhttp://www.lix.polytechnique.fr/~nielsen/MEF/This library allows you to cluster your data using kmeans with different divergence, including Kullback Leibler, to compute centroids and different geometric algorithms in the space of probability distributions.
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (44): Wrapper of the jMEF java library Download |
For the description of the divergence you can take a look at :http://en.wikipedia.org/wiki/Kullback-Leibler_divergence
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (45): Kullback-Leibler Divergence Download |
This program finds the center for a set of tensors using tKLReferences: Baba C. Vemuri, Meizhu Liu, Shun-Ichi Amari and Frank Nielsen, Total Bregman Divergence and its Applications to DTI Analysis, IEEE Transactions on Medical Imaging (TMI'10), 2010. Meizhu Liu, Baba C. Vemuri, Shun-Ichi Amari...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (48): Total Kullback-Leibler (tKL) divergence center for a set of tensors Download |
tKL between two multivariate normal probability density functions. This program implements the tKL between two multivariate normal probability density functions following the references: Baba C. Vemuri, Meizhu Liu, Shun-Ichi Amari and Frank Nielsen, Total Bregman Divergence and its Applications...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (42): Total Kullback-Leibler (tKL) divergence between multivariate normal probability density functions Download |
MaxEntropy is a Perl5 module for Maximum Entropy Modeling and Feature Induction. SYNOPSIS use Statistics::MaxEntropy; # debugging messages; default 0 $Statistics::MaxEntropy::debug = 0; # maximum number of iterations for IIS; default 100 $Statistics::MaxEntropy::NEWTON_max_it = 100; #...
Platforms: *nix
License: Freeware | Size: 41.98 KB | Download (100): Statistics::MaxEntropy Download |
The code calculates a metric between a pair of multivariate Gaussian Mixture Models.This is a demo code for the unscented Hellinger distance between a pair of Gaussian mixture models. The code follows the derivation of the multivariate unscented Hellinger distance introduced in [1]. Unlike the...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 30.72 KB | Download (43): Unscented Hellinger distance between GMMs Download |