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模式识别_贝叶斯分_类器
- 一个用来做模式识别的贝叶斯分类器-used as a pattern recognition Bayesian classifier
贝叶斯分类算法
- 实现模式识别中的贝叶斯分类
Matlab贝叶斯分类器+(Bayers)程序
- 用matlab实现贝叶斯分类器,模式识别的一个程序。 matlab的英文教程
BayesianClasser
- 贝叶斯分类器matlab版,可以用于图像分类,检索,模式识别相关工作-bayes classifier is useful to image classify
naivebayes
- 模式识别中朴素贝叶斯分类器,实习数据的良好分类技术-naive bayesian classification
1
- 这是一个模式识别,关于贝叶斯分类器实现的代码-This is a pattern recognition, Bayesian classifier on the realization of the code
Bayes_fu
- 用MATLAB实现模式识别中的贝叶斯分类-Using MATLAB to achieve recognition in the Bayesian classifier
ClassCode
- 本程序基于matlab实现了贝叶斯分类器,是模式识别理论中基本的操作,希望对初学者有帮助。-This procedure achieved a matlab-based Bayesian classifier, Pattern Recognition Theory is the basic operation, and they hope to be helpful for beginners.
zuoye
- 利用matlab软件对模式识别进行了很好的仿真,利用贝叶斯分类器对男女生进行了很好的分类。-Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.
PatternRecongnition
- 本程序是关于模式识别基本操作的,给出了贝叶斯判别函数等-This procedure is about the basic operation of pattern recognition, Bayesian discriminant function is given, such as
Pattern_recognition4
- 张学工老师模式识别第四次作业,分别用C均值方法,分层聚类方法和非监督参数下正态分布函数估计的贝叶斯决策对身高体重二维数据进行分类。-Zhang engineering teacher fourth pattern recognition operations, respectively C-means, hierarchical clustering methods, and non-normal distribution function under the supervision of th
模式识别第一次作业
- 1. 用 dataset1.txt 作为训练样本,用dataset2.txt 作为测试样本,采用身高和体重数据为特征,在正态分布假设下估计概率密度(只用训练样本),建立最小错误率贝叶斯分类器,写出所用的密度估计方法和得到的决策规则,将该分类器分别应用到训练集和测试集,考察训练错误率和测试错误率。将分类器应用到dataset3 上,考察测试错误率的情况。(1. using dataset1.txt as training samples as test samples by dataset2.tx
模式识别
- 贝叶斯估计,最大似然估计,Fisher线性识别和K均值(Bias estimation, maximum likelihood)
贝叶斯
- 模式识别,贝叶斯判定,matlab程序,判别身高体重(Pattern recognition, Bayes decision, and matlab program are used to judge height and weight)
贝叶斯决策实现线性样本分类
- MATLAB语言编程,用贝叶斯决策算法实现线性样本分类,输入待分类样本,输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
模式识别分类器
- 贝叶斯识别,可对图像数据进行分类的算法,其中包含5个m文件(Bias recognition, image data can be classified algorithm, which contains 5 m files)
模式识别
- 简单的贝叶斯分类器,实现基于身高体重的男女性别分类(Simple Bias classifier)
手写体数字识别
- 可以识别手写体数字,识别率在百分之90以上。贝叶斯决策论(Handwritten numerals can be recognized)
模式识别第二次作业
- 基于贝叶斯原理,通过体重身高数据进行性别分类(Based on Bayes principle, sex classification is carried out by body weight and height data)
Sciprts
- 用 dataset3 作为训练数据,用 dataset4 作为测试数据,采用不同的特征、训练样本数、分类方法进行比较实验,观察、分析实验结果的异同。 训练分类器的方法为最小错误率贝叶斯分类器(假设正态分布,先验概率各 50%)。使用Bayesscr ipt.m运行代码。(Using dataset3 as training data, dataset4 is used as test data, and different characteristics, training samples an