代码搜索：MIXTURE

找到约 1,805 项符合「MIXTURE」的源代码

代码结果 1,805
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www.eeworm.com/read/225759/4792557

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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www.eeworm.com/read/215485/4903449

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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www.eeworm.com/read/197905/5090895

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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www.eeworm.com/read/346158/3189481

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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www.eeworm.com/read/292984/3935721

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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www.eeworm.com/read/292964/3936869

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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www.eeworm.com/read/268397/4252958

java crossmixturemodel.java

package dragon.ir.topicmodel; import dragon.matrix.*; import java.util.*; /** * Cross mixture topic model * * Copyright: Copyright (c) 2005 * Company: IST, Dr
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www.eeworm.com/read/434858/1867920

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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www.eeworm.com/read/430506/1929396

m pnmix.m

function [hellipse,hcenter]=pnmix(X,MI,SIGMA,I,hellipse,hcenter) % [hellipse,hcenter]=pnmix(X,MI,SIGMA,I,hellipse,hcenter) % % PNMIX vizualizes mixture of normal distributions in 2D space. % Each n
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www.eeworm.com/read/393163/2487816

m mfa_cl.m

% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi); % % Calculates log likelihoods of a data set under a mixture of factor % analysis model. % % X - data matrix % Lh - factor loadings % Ph - diagonal uniq
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