The Distributed EM Algorithms in Multivariate Gaussian Mixture Models

Documentation for package ‘DEM’ version 0.0.0.2

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