C ++ library / structure, API for machine learning models Mixture

Question

I want to use Gaussian mixture models for clustering data (using the Expectation Maximization (EM) algorithm, which assigns each component density for each observation to the rear probabilities). Is there a C ++ library that has Gaussian mix models implemented along with a sample dataset and examples?

Answer 1

The Armadillo C ++ library has a multi-threaded (parallel) implementation of k-tools and maximization of expectations (EM) for Gaussian mixer (GMM) models.

. gmm_diag.

Answer 2

++. , . . Scythe.

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Answer 3

, , http://itpp.sourceforge.net/current/mog.html

Answer 4

The best I've used is MLPack,
http://www.mlpack.org/doxygen.php?doc=classmlpack_1_1gmm_1_1GMM.html .

You can find an example implementation in my project   https://github.com/kerdemdemir/speakerFinder/blob/master/trainer.h

Answer 5

This is a Python sample: http://scikit-learn.sourceforge.net/auto_examples/mixture/plot_gmm_classifier.html

Check out the base implementation.