Description: Experimental requirements:
1. take height as an example, draw the height histogram of male and female students, and make a comparison;
2. the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students;
3. Bayesian estimation method is used to find the parameters of height and weight distribution of male and female students (assuming variance is known, please indicate some parameters selected by homework);
4., the Bayes decision with minimum error rate is used to draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?
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File list (Check if you may need any files):
Beyes\Untitled.m
Beyes\作业数据_2017And2016.xls
Beyes\模式识别第一次作业.docx
Beyes
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