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- W2348816050 abstract "Latent semantic analysis(LSA)iswidely applied in the field of information retrieva but rarely used in the field of near infrared spectroscopy. The effects of different pretreatmen methods, singular values and number of principal components on the proposed modelwere compared using near-infrared diffuse reflectance spectroscopy technology, combinedwith latent semantic analysis and traditional principal component analysis(PCA) respectively. And the overall misclassification number of calibration sets is 4 and 3. Established calibration modelwas used to verify the validation set, and the overall recognition rate reached 96. 00% and 96. 50%.As for the effect close and difficul clustering Chinese herbal tonic, latent semantic analysis is a new and effectivemethod." @default.
- W2348816050 created "2016-06-24" @default.
- W2348816050 creator A5064583566 @default.
- W2348816050 date "2013-01-01" @default.
- W2348816050 modified "2023-09-23" @default.
- W2348816050 title "NIR Clustering of Common Tonic Medicine Based on LSA and PCA" @default.
- W2348816050 hasPublicationYear "2013" @default.
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