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Volumn 633, Issue 1, 2009, Pages 43-50
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Pattern recognition of Chinese flue-cured tobaccos by an improved and simplified K-nearest neighbors classification algorithm on near infrared spectra
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Author keywords
Chemometrics; Improved and simplified K nearest neighbors; Near infrared; Optimization of principal component number; Pattern recognition of multi categories; Tobacco
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Indexed keywords
AGRICULTURAL PRODUCTS;
BLENDING;
CURING;
FLUES;
INFRARED DEVICES;
INFRARED SPECTROSCOPY;
OPTIMIZATION;
PATTERN RECOGNITION;
PRINCIPAL COMPONENT ANALYSIS;
CHEMOMETRICS;
CLASSIFICATION MODELS;
CROSS VALIDATIONS;
IMPROVED AND SIMPLIFIED K-NEAREST NEIGHBORS;
KNN CLASSIFICATIONS;
NEAR INFRARED;
NEAR INFRARED SPECTRUMS;
PATTERN RECOGNITION METHODS;
POWDER SAMPLES;
RAPID METHODS;
TOBACCO INDUSTRIES;
TOBACCO LEAVES;
TOBACCO MARKETS;
TOBACCO PLANTS;
TOBACCO;
ARTICLE;
CHEMOMETRICS;
CHINA;
CLASSIFICATION ALGORITHM;
GENOTYPE;
K NEAREST NEIGHBORS CLASSIFICATION ALGORITHM;
NEAR INFRARED REFLECTANCE SPECTROSCOPY;
NONHUMAN;
PLANT IDENTIFICATION;
PRINCIPAL COMPONENT ANALYSIS;
PRIORITY JOURNAL;
TOBACCO;
VALIDATION PROCESS;
ALGORITHMS;
CHINA;
PATTERN RECOGNITION, AUTOMATED;
PLANT LEAVES;
REPRODUCIBILITY OF RESULTS;
SPECTROSCOPY, NEAR-INFRARED;
TOBACCO;
NICOTIANA OBTUSIFOLIA;
NICOTIANA TABACUM;
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EID: 57749183648
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2008.11.044 Document Type: Article |
Times cited : (64)
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References (37)
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