R: The Distributed EM Algorithms in Multivariate Gaussian Mixture Models

# The Distributed EM Algorithms in Multivariate Gaussian Mixture Models

## Documentation for package ‘DEM’ version 0.0.0.2

- DESCRIPTION file

## Help Pages

DEM1 | The DEM1 algorithm is a divide and conquer algorithm, which is used to solve the parameter estimation of multivariate Gaussian mixture model.
DEM2 | The DEM2 algorithm is a one-step average algorithm in distributed manner, which is used to solve the parameter estimation of multivariate Gaussian mixture model.
DMOEM | The DMOEM is an overrelaxation algorithm in distributed manner, which is used to solve the parameter estimation of multivariate Gaussian mixture model.
DOEM1 | The DOEM1 algorithm is an online EM algorithm in distributed manner, which is used to solve the parameter estimation of multivariate Gaussian mixture model.
DOEM2 | The DOEM2 algorithm is an online EM algorithm in distributed manner, which is used to solve the parameter estimation of multivariate Gaussian mixture model.
EM | The EM algorithm is used to solve the parameter estimation of multivariate Gaussian mixture model.
HTRU | HTRU2
magic | Magic
Skin | Skin segmentation