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parzen窗法，功能是根据样本进行概率密度函数估计。实现了对正态分布概率密度函数和均匀分布双峰概密函数进行估计,Parzen window method, function is based on a sample of the estimated probability density function. The realization of the normal distribution probability density function and uniform distributi
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这是一个模式识别中的parzen窗的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition in a simple window parzen Category simulation examples, one of female.txt and male.txt training samples, test.txt is the me
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关于模式识别的几个matlab程序，包括fisher；parzen窗；感知函数等等。-Matlab on the number of pattern recognition procedures, including the fisher parzen window perceptual function and so on.
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二维数据集Parzen方窗非参数估计PDF(概率密度函数)，三维结果显示，有图，有完整说明文档和程序运行说明，matlab编程环境，此为模式识别小作业 parzen-Dimensional data set Parzen Window non-parametric estimation side PDF (probability density function), three-dimensional results show that map, with complete documentat
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Parzen窗拟合标准正态分布（Matlab实现）-Parzen window fitting the standard normal distribution (Matlab implementation)
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模式识别中Parzen窗函数的实现，模拟对二维高斯分布的非参估计。窗函数有三种：高斯窗、指数窗、方窗-Pattern Recognition Parzen window function of the realization, simulation of two-dimensional Gaussian distribution is estimated non-participation. There are three window function: Gaussian window, th
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parzen window density estimation with Gaussian as a smoothing factor
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分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。-Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine
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两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。-Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window meth
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通过matlab语言实现Parzen窗估计法，实现结果良好，可供大家使用，互相学习。-Parzen window estimation method by Matlab language to achieve good results for everyone to use, learn from each other.
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用matlab进行概率密度函数的非参数估计，主要有parzen窗法和kn近邻法。分别对平均分布和正态分布进行了仿真。-Non-parametric estimation of the probability density function using matlab, main the parzen window method and kn nearest neighbor method. The average distribution and normal distribution were
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parzen窗算法，适合于初学者。包括paren的matlab源代码，以及测试文件。-Parzen window algorithm
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parzen窗对一维密度函数的估计的matlab编程-parzen window estimate of the one-dimensional density function
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parzen窗对概率密度函数的估计matlab程序-parzen window
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Parzen窗法，是Parzen的窗口算法，用MATLAB语言编写的，用于随机概率的估计-Parzen window is Parzen window algorithm, using MATLAB language, probability estimates for random
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parzen窗函数估计，matlab代码-parzen window function estimation, matlab codes
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simple example for parzen window matlab code
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pazzle 窗实现模式识别算法， parzen窗函数概率密度估计演示程序 完全按照《现代模式识别》孙即祥著作 2.4.4《动态聚类法》算法3实现 使用欧式距离作为测度标准-puzzle window to achieve pattern recognition algorithm
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a matlab code for testing k_near_neighbour and parzen window
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模式识别在MATLAB程序下的有关算法程序，包括Fisher分类，ML分类，parzen窗分类，直方图画法，roc曲线，roc分类等(Pattern recognition in the MATLAB program related algorithm program, including Fisher classification, ML classification, Parzen window classification, histogram drawing, ROC curve, RO
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