The Distributed Online Expectation Maximization Algorithms to Solve Parameters of Poisson Mixture Models

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Documentation for package ‘DOEM’ version 0.0.0.1

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DE_OEM The DE-OEM algorithm replaces E-step with stochastic step in distributed manner, which is used to solve the parameter estimation of Poisson mixture model.
DMOEM The DMOEM is an overrelaxation algorithm in distributed manner, which is used to solve the parameter estimation of Poisson mixture model.
DM_OEM The DM-OEM algorithm replaces M-step with stochastic step in distributed manner, which is used to solve the parameter estimation of Poisson mixture model.
E_OEM The E-OEM algorithm replaces E-step with stochastic step, which is used to solve the parameter estimation of Poisson mixture model.
M_OEM The M-OEM algorithm replaces M-step with stochastic step, which is used to solve the parameter estimation of Poisson mixture model.
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