代码搜索:MIXTURE

找到约 1,805 项符合「MIXTURE」的源代码

代码结果 1,805
www.eeworm.com/read/459311/1570075

m unsuni.m

function [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI,SIGMA,Pk) % UNSUNI EM algorithm, mixture of Gaussians, diag. cov. matrix. % [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI
www.eeworm.com/read/458434/1586235

m unsuni.m

function [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI,SIGMA,Pk) % UNSUNI EM algorithm, mixture of Gaussians, diag. cov. matrix. % [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI
www.eeworm.com/read/246438/4494367

m unsuni.m

function [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI,SIGMA,Pk) % UNSUNI EM algorithm, mixture of Gaussians, diag. cov. matrix. % [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI
www.eeworm.com/read/243143/4532215

m unsuni.m

function [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI,SIGMA,Pk) % UNSUNI EM algorithm, mixture of Gaussians, diag. cov. matrix. % [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI
www.eeworm.com/read/225759/4792580

m mk_mhmm_obs_lik.m

function [B, B2] = mk_mhmm_obs_lik(data, mu, Sigma, mixmat) % MK_MHMM_OBS_LIK Make the observation likelihood vector for a mixture of Gaussians HMM. % [B, B2] = mk_mhmm_obs_lik(data, mu, Sigma, mixmat
www.eeworm.com/read/222261/4821456

m unsuni.m

function [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI,SIGMA,Pk) % UNSUNI EM algorithm, mixture of Gaussians, diag. cov. matrix. % [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI
www.eeworm.com/read/188843/5206324

m unsuni.m

function [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI,SIGMA,Pk) % UNSUNI EM algorithm, mixture of Gaussians, diag. cov. matrix. % [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI
www.eeworm.com/read/324319/3504153

m unsuni.m

function [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI,SIGMA,Pk) % UNSUNI EM algorithm, mixture of Gaussians, diag. cov. matrix. % [MI,SIGMA,Pk,I,solution,t]=unsuni(X,K,tmax,randinit,t,MI
www.eeworm.com/read/320347/3548422

m em_gm_fast.m

function [W,M,V,L] = EM_GM_fast(X,k,ltol,maxiter,pflag,Init) % [W,M,V,L] = EM_GM_fast(X,k,ltol,maxiter,pflag,Init) % % EM algorithm for k multidimensional Gaussian mixture estimation % (EM_GM_fa
www.eeworm.com/read/320347/3548423

m plot_gm.m

function Plot_GM(W,M,V,flag,X) % Plot_GM(W,M,V,X) % % Plots a 1D or 2D Gaussian mixture. % % Inputs: % W(1,k) - weights of each GM component, k is the number of component % M(d,k) - m