Classification and Class-Modelling
作者： Marta Bevilacqua , Remo Bucci , Andrea D. Magrì , Antonio L. Magrì , Riccardo Nescatelli
DOI: 10.1016/B978-0-444-59528-7.00005-3
关键词: Mathematics 、 Machine learning 、 Soft independent modelling of class analogies 、 Class (biology) 、 Pattern recognition 、 Artificial intelligence 、 Optimal discriminant analysis 、 Principal (computer security) 、 Multiple discriminant analysis 、 Classification rule 、 Linear discriminant analysis
摘要: Abstract This chapter describes the basic theory about classification, starting from a general description of different approaches to classification and then illustrating in detail principal methods which are used framework assessment food quality. Examples application data sets also provided.
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