文件名称:ICA_demo_text
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ICA is used to classify text in extension to the latent semantic indexing framework. 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 framework. 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 framework. 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
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
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
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