文件名称:ICA_demo_text
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ICA is used to classify text in extension to the latent semantic indexing fr a mework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
-ICA is used to classify text in extension to the latent semantic indexing fr a mework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
-ICA is used to classify text in extension to the latent semantic indexing fr a mework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
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下载文件列表
压缩包 : 117143202ica_demo_text.zip 列表 ICA_demo_text/ ICA_demo_text/calckeywords.m ICA_demo_text/classifyer_angel_ica.m ICA_demo_text/confusionMatrix.m ICA_demo_text/flipcomp_ica.m ICA_demo_text/icaML.m ICA_demo_text/icaML_bic.m ICA_demo_text/med_5class.mat ICA_demo_text/plotComp.m ICA_demo_text/script_text.m ICA_demo_text/softmax_ica.m ICA_demo_text/unitvariance.m