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贝叶斯分类器源代码
- 利用VC实现的贝叶斯分类器的源代码,可以用来分类或识别,很值得收藏-The source code of bayes classfication using VC
贝叶斯分类器python
- 简单的python写的贝叶斯分类器。很简单适合初学者阅读
PCA_LDA.rar
- 《机器学习》课上的作业,PCA和LDA降维,尽管网上很多,但很少注释,另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器,大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数,不是百分比!," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
bayes
- 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
naive_bayes_numeric
- 利用matlab实现的朴素贝叶斯分类器的源代码,可以用来分类或识别,自己编写的,请多指教-Using matlab Naive Bayesian classifier to achieve the source code can be used to classification or recognition, I have written, and like him Zhijiao
bayesleastrisk
- matlab贝叶斯分类器,基于matlab的仿真-Bayesian classifier matlab, matlab-based simulation
NaviveBayesClassify
- java代码的朴素贝叶斯分类器 java代码的朴素贝叶斯分类器 调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
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
beiyesi
- 一个简单的贝叶斯分类器,有实验步骤和实验数据。-A simple Bayesian classifier, there are experimental steps and the experimental data.
Bayes
- 该代码包是一个基于贝叶斯分类器的分类程序,内含数据集、可运行程序-The code package is a classifier based on Bayesian classification procedures, including data sets, can run the program
105359_1148
- 为了测试评估贝叶斯分类器的性能,用不同数据集进行对比实验是必不可少的. -In order to test the assessment of the performance of Bayesian classifier, and compare different experimental data sets is essential.
knn
- KNN 利用VC实现的贝叶斯分类器的源代码,可以用来分类或识别,很值得收藏
bayes_numeric
- 利用matlab实现的数值型贝叶斯分类器的源代码,可以用来分类或识别,很值得收藏-Using matlab to achieve numerical Bayesian classifier source code can be used to classification or identification, it is worthy of collection
bayes
- 贝叶斯分类器的设计与实现,非常好的应用程序,能够在其上面实现人脸识别-Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above
贝叶斯分类器设计
- 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。也就是说,贝叶斯分类器是最小错误率意义上的优化。
20170608贝叶斯分类器实验
- 贝叶斯分类器,通过事先sample样本的训练,能够快速准确的实现对待分类样本的识别分类(Bias classifier, through the training of sample samples in advance, can quickly and accurately realize the classification and classification of the classified samples)
贝叶斯分类器
- 该程序能够实现对两种样本进行贝叶斯分类,并且能够通过旋转观察两类的三维图,还能够画出超平面,更加直观的观察两类的分类。(The program can realize the Bayesian classification of two kinds of samples, and can be observed by rotating the 3D figure two class, also can draw a plane, the classification of the two cla
贝叶斯
- 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(The classification principle of Bias classifier is to calculate the posterior probability by using Bias's formula through the prior probability of an object, that is, the proba
Bayes classifier
- 基于贝叶斯分类器的数据处理与MATLAB实现(Data processing based on MATLAB implementationof Bayes classifier)
贝叶斯人脸识别
- Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别,基于GMM的图像分割,使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)