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