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模式识别

于 2022-03-18 发布 文件大小:404.43 kB
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%%分类使用朴素贝叶斯分类器的集群和分类 training_data = Testdata ; target_class = TestDataLabels ; [类、 err] = 分类 (UnseenTestdata、 training_data、 target_class、 "diaglinear") cmat1 = confusionmat (UnseenTestDataLabels 类) ; acc1 = 100*sum(diag(cmat1))./sum(cmat1(:)) ; 定向 ("Classifier1:naccuracy = %.2f%%n ",acc1) ; 定向 (" 混淆矩

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