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贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier classification principle is a priori probability of an object by using the Bayesian formula to calculate the probability of subsequent experience, that is, the probability that the object belongs to a certain category, the class having the maximum a posteriori probability as the object class belongs
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Fisher.m
minerrorBayers.m
minerrorBayers.m
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