文件名称:123
介绍说明－－下载内容均来自于网络，请自行研究使用
生成两个均包含 N=1000个两维矢量的数据集合 和 ，数据集合中的矢量来自于三个类别模型，假设类别的先验概率由矢量
实现
给出
1. 分别画出两个数据集合。
2. 在两个数据集合上分别应用贝叶斯分类器和欧氏距离分类器。
3. 对每个数据集合每种分类器计算分类错误率-Generates two data sets contains N = 1000 and the two-dimensional vector, the vector data set three categories of models, a priori probability hypothesis categories to achieve given by the vector 1. Draw the two data sets. 2. On the two data sets were applied Bayesian classifier and Euclidean distance classifier. 3. set for each classification error rate calculated for each data
实现
给出
1. 分别画出两个数据集合。
2. 在两个数据集合上分别应用贝叶斯分类器和欧氏距离分类器。
3. 对每个数据集合每种分类器计算分类错误率-Generates two data sets contains N = 1000 and the two-dimensional vector, the vector data set three categories of models, a priori probability hypothesis categories to achieve given by the vector 1. Draw the two data sets. 2. On the two data sets were applied Bayesian classifier and Euclidean distance classifier. 3. set for each classification error rate calculated for each data
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下载文件列表
附件\bayes_1.m
....\bayes_2.m
....\euclidean_1.m
....\euclidean_2.m
....\gene1.m
....\gene2.m
附件