jMEFJava library to help your development process | |
Download |
jMEF Ranking & Summary
Advertisement
- Publisher Name:
- Vincent Garcia, Frank Nielsen
- Operating Systems:
- Windows All
- File Size:
- 50 KB
jMEF Tags
jMEF Description
jMEF was developed as an Open Source and cross-platform Java library to help you create, process and manage mixtures of exponential families. Exponential families are characterized by the log normalizer function F, and include the following well-known distributions: Gaussian (generic, isotropic Gaussian, diagonal Gaussian, rectified Gaussian or Wald distributions, lognormal), Poisson, Bernoulli, binomial, multinomial, Laplacian, Gamma (incl. chi-squared), Beta, exponential, Wishart, Dirichlet, Rayleigh, probability simplex, negative binomial distribution, Weibull, von Mises, Pareto distributions, skew logistic, etc. All corresponding formula of the canonical decomposition are given in the documentation Mixtures of exponential families provide a generic framework for handling Gaussian mixture models (GMMs also called MoGs for mixture of Gaussians), mixture of Poisson distributions, and Laplacian mixture models as well.
jMEF Related Software