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FEATURE VALUE SELECTION METHOD, FEATURE VALUE SELECTION PROGRAM, MULTICLASS CLASSIFICATION METHOD, MULTICLASS CLASSIFICATION PROGRAM, FEATURE VALUE SELECTION DEVICE, MULTICLASS CLASSIFICATION DEVICE, AND FEATURE VALUE SET
FEATURE VALUE SELECTION METHOD, FEATURE VALUE SELECTION PROGRAM, MULTICLASS CLASSIFICATION METHOD, MULTICLASS CLASSIFICATION PROGRAM, FEATURE VALUE SELECTION DEVICE, MULTICLASS CLASSIFICATION DEVICE, AND FEATURE VALUE SET
The present invention aims to provide: a multiclass classification method that selects a feature value and classifies a sample into one of a plurality of classes on the basis of the selected feature value; a multiclass classification program; a multiclass classification device; and a feature value selection method, a feature value selection device, and a feature value set that are used in this kind of multiclass classification. The present invention handles issues with multiclass classification that includes feature selection. Feature selection is a method whereby feature values required for latter-stage processes (i.e., multiclass classification, for this invention) are selected for adoption or rejection beforehand, from among a plurality of feature values in a sample. Multiclass classification is an issue of discrimination that determines which of a plurality of classes a given unknown sample belongs to.
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