GHMM Open source general hidden Markov model library
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GHMM Description

Open source general hidden Markov model library GHMM is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, basic training, HMM clustering, continous emissions, HMM mixtures. Here are some key features of "GHMM": · Discrete and continous emissions · Mixtures of PDFs for continous emissions · Non-homogenous Markov chains · Pair HMMs (contributed by Genoscope ) · Clustering and mixture modelling for HMMs · Graphical Editor HMMEd · Python bindings · XML-based file format · Portable (autoconf, automake, Windows) · C++ API (NOT under active development, unsupported)

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