文件名称:npbayes-r1
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Latent Dirichlet allocation 和hierarchical Dirichlet process 模型的MATLAB实现代码-The implementation of latent Dirichlet allocation and hierarchical Dirichlet process by using matlab software
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下载文件列表
npbayes-r1\npbayes-r1\.htaccess
..........\..........\COPYRIGHT
..........\..........\datasets\genbars.m
..........\..........\........\gengaussian.m
..........\..........\........\README
..........\..........\.istributions\@GaussianWishart\adddata.m
..........\..........\.............\................\deldata.m
..........\..........\.............\................\GaussianWishart.m
..........\..........\.............\................\likelihood.m
..........\..........\.............\................\map.m
..........\..........\.............\................\marglikelihood.m
..........\..........\.............\................\private\incmaxeval.m
..........\..........\.............\.Multinomial\adddata.m
..........\..........\.............\............\deldata.m
..........\..........\.............\............\display.m
..........\..........\.............\............\double.m
..........\..........\.............\............\length.m
..........\..........\.............\............\likelihood.m
..........\..........\.............\............\map.m
..........\..........\.............\............\marglikelihood.m
..........\..........\.............\............\Multinomial.m
..........\..........\.............\............\parameters.m
..........\..........\.............\............\.rivate\incmax.m
..........\..........\.............\............\sample.m
..........\..........\.............\............\subsasgn.m
..........\..........\.............\............\subsref.m
..........\..........\.............\adddist.m
..........\..........\.............\cleardist.m
..........\..........\.............\deldist.m
..........\..........\.............\README
..........\..........\.pmix\dp_beta.m
..........\..........\.....\dp_conparam.m
..........\..........\.....\dp_crp.m
..........\..........\.....\dp_init.m
..........\..........\.....\dp_iterate.m
..........\..........\.....\dp_iterateconparam.m
..........\..........\.....\dp_kmeans.m
..........\..........\.....\dp_posterior.m
..........\..........\.....\dp_predict.m
..........\..........\.....\dp_samplepred.m
..........\..........\.....\dp_specialize.m
..........\..........\.....\dp_standardize.m
..........\..........\.....\README
..........\..........\hdpmix\hdp2lda.m
..........\..........\......\hdpMultinomial_block.m
..........\..........\......\hdp_beta.m
..........\..........\......\hdp_conparam.m
..........\..........\......\hdp_crf.m
..........\..........\......\hdp_init.m
..........\..........\......\hdp_iterate.m
..........\..........\......\hdp_iterateconparam.m
..........\..........\......\hdp_posterior.m
..........\..........\......\hdp_predict.m
..........\..........\......\hdp_specialize.m
..........\..........\......\hdp_standardize.m
..........\..........\......\README
..........\..........\initpath.m
..........\..........\lda\lda2hdp.m
..........\..........\...\ldaMultinomial_block.m
..........\..........\...\lda_beta.m
..........\..........\...\lda_conparam.m
..........\..........\...\lda_crf.m
..........\..........\...\lda_init.m
..........\..........\...\lda_iterate.m
..........\..........\...\lda_iterateconparam.m
..........\..........\...\lda_posterior.m
..........\..........\...\lda_predict.m
..........\..........\...\lda_specialize.m
..........\..........\...\lda_standardize.m
..........\..........\...\README
..........\..........\mixtures\dpGaussianWishart.m
..........\..........\........\estimateGaussianWishart.m
..........\..........\........\hdpMultinomial.m
..........\..........\........\ldaMultinomial.m
..........\..........\README
..........\..........\tests\testbars.m
..........\..........\.....\testdpmixGaussianWishart.m
..........\..........\.....\testpredict.m
..........\..........\.....\testrandconparam.m
..........\..........\utilities\enumclass.m
..........\..........\.........\imlayout.m
..........\..........\.........\logmeanexp.m
..........\..........\.........\meanlik.m
..........\..........\.........\mysubplot.m
..........\..........\.........\plotellipse.m
..........\..........\.........\randbeta.m
..........\..........\.....