1. using dataset1.txt as training samples as test samples by dataset2.txt, the height and weight data for feature in probability density estimation of normal distribution assumption (only training samples), the establishment of minimum error rate Bias classifier, write for density estimation method and get the decision rules, the classifiers are applied to training to investigate the training set and test set, error rate and error rate test. The classifier is applied to dataset3 to investigate the error rate of the test.

模式识别第一次作业\dataset2.txt
模式识别第一次作业\dataset3.txt
模式识别第一次作业\datasetf1.txt
模式识别第一次作业\datasetm1.txt
模式识别第一次作业\determine.m
模式识别第一次作业\determinecopy.m
模式识别第一次作业\error_determine.m
模式识别第一次作业\error_determinecopy.m
模式识别第一次作业\likelihood.m
模式识别第一次作业\risk_determine.m
模式识别第一次作业\risk_determinecopy.m
模式识别第一次作业\select.m
模式识别第一次作业\selectcopy.m
模式识别第一次作业

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