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Parzen_KNN
- Parzen 窗 和 K近邻法进行概率密度估计 还带一个示波器控件.-Parzen window and K-nearest neighbor method probability density is estimated to bring an oscilloscope control.
patternreg
- 模式识别中的Parzen窗法ISODATA算法H-K(Ho-Kashyap)算法的实现，用matlab和VC编写-pattern recognition of Parzen window ISODATA method algorithm H-K (Ho-Kashya p) algorithm implementation using Matlab and VC prepared
Parzen
- 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。-Parzen window probability density function is estimated demo program in full accordance with the
parzenchuang
- 一个演示parzen窗的演示小程序，参数自己去改阿！-A demonstration of the demonstration of small Parzen window procedure, the parameters themselves changed Ah!
Parzen
- Parzen窗法，由样本求概密估计，例为一维正态分布和双峰均匀分布，内附随机数生成的原理说明。-Parzen window method, by the sample density estimate for estimated Example for one-dimensional normal distribution and bimodal uniform distribution, random number generator
parzen
- 模式识别中parzen窗估计源程序matlab-Pattern Recognition Parzen window estimate matlab source
parzenWindows
- 应用Parzen窗法估计样本的概率密度函数； 估计样本为标准正态分布和均匀分布；-Application of Parzen window method estimates the probability density function of the sample estimated sample standard normal distribution and uniform distribution
parzen
- Parzen窗估计法的C语言代码和Matlab应用的动态链接库。-Parzen window estimation method of C language code and Matlab applications, dynamic link library.
parzen
- 这是一个parzen窗口分类算法，希望能给大家的学习有所帮助-This is a Parzen window classification algorithm, we hope that they will be helpful to the learning
Parzen_Window
- 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
parzen
- 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 f
Parzen
- 调节窗口大小，来捕获数据，而得到函数特征-Adjust window size to capture the data, and function characteristics have been
gaussianparzenwindowdensityestimation
- parzen window density estimation with Gaussian as a smoothing factor
parzen
- 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
parzen
- 用parzen窗方法，估计概率密度，采用高期核函数-With parzen window means of estimating the probability density function using high nucleus. . . .
classifier
- 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
parzen
- Parzen窗拟合标准正态分布（Matlab实现）-Parzen window fitting the standard normal distribution (Matlab implementation)
parzen
- 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
Parzen-window-
- Parzen 窗估计密度函数对图形图像进行处理-Parzen window estimated density function of the graphics processing
Parzen-window-method
- 此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 -Th