Description: The purpose of this experiment is to study the Parzen window estimation and the k nearest neighbor estimation method. In previous pattern recognition studies, we assume that the parameter form of the probability density function is known, that is, the parameter of the discriminant function J (...) is known. This section uses nonparametric methods to handle any form of probability distribution without having to consider the parameter form of probability density. In pattern recognition, there are hidden nonparametric methods that are interesting. Parzen window estimation and K nearest neighbor estimation are two classical estimation methods.
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三步搜索法\标准三步搜索法
三步搜索法\标准三步搜索法\my_3_STEP_search.m
三步搜索法\标准三步搜索法\my_MAD.m
三步搜索法\标准三步搜索法\my_find_min_distance.m
三步搜索法
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