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EM_GaussMixture.py		EM_GaussMixture.py
EM_HMMGauss.py		EM_HMMGauss.py
README.md		README.md
pairs.dat		pairs.dat

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EM GaussianMixture & HMM

Python implementations of EM methods to mixture of Gaussian and Hidden Markov Model (HMM) with Gaussian hidden states.

The convergence condition is log-likelihood.

For Hidden Markov Model forward and backward normalization process and approximated log-likelihood function, please check

http://www.cs.sjsu.edu/~stamp/RUA/HMM.pdf

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Python 100.0%