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贝叶斯分类代码,实现分类
- 贝叶斯分类 代码实现
贝叶斯分类器
- 贝叶斯一维分类器，用matlab编写，正态分布下男女生判别，最小错误率的贝叶斯分类
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
贝叶斯辨识
- 一个很有用的贝叶斯辨识的MATLAB程序,结果会很流畅的图形输出.-a very useful identification of MATLAB Bayesian procedures, and results will be very smooth graphics output.
最小错误率贝叶斯决策
- 基于最小错误率的贝叶斯决策 （1）要决策分类的类别数是一定的；（2）每一类出现的“先验概率”已知；（3）每一类的“类条件概率密度”已知；(Bayesian Decision Based on Minimum Error Rate(1) the "prior probabilities" of each class are known; (2) the "conditional probability den
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)
3.贝叶斯分类器
- 贝叶斯定理是用数学的方法来解释生活中大家都知道的常识，而机器学习使用的各种算法中，最常见的就是贝叶斯定理。此代码为贝叶斯分类python代码，包含高斯贝叶斯分类器，多项式贝叶斯分类器和伯努利贝叶斯分类器，并有具体的数据例子进行仿真比较(Bias's theorem is a mathematical way to explain all the common sense in life, and machine learning usi
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
贝叶斯分类ppt
- 贝叶斯分类，主要是数据挖掘以及人工智能的相关知识，基础知识(The basic knowledge of learning data mining and artificial intelligence is mainly clustering)
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
贝叶斯分类作业数据_PR邹月娴_顾容之_20170927
- 贝叶斯分类的数据，用于测试贝叶斯分类是否有效(Bias classification data used to test whether the Bias classification is valid)
基于朴素贝叶斯定理的文本分类
- 基于朴素贝叶斯定理的文本分类，附全部源程序(Text classification based on the simple Bias theorem)
5、贝叶斯python代码及数据
- 贝叶斯算法实现分类及数据集 python代码 分类算法(The classification and data set of Bias algorithm)
matlab贝叶斯分类(1)-简单样本集
- 利用matlab实现贝叶斯分类，采取“留一法”选取训练集和测试集，最后返回准确率为0.8571。(Bias classification is realized by MATLAB, and training set and test set are selected by "leaving one method", and the accuracy of return is 0.8571.)
matlab贝叶斯分类(2)-10折10次交叉验证
- 利用matlab实现贝叶斯分类，采用10折10次交叉验证法选取训练集和测试集，进行循环测试，最后返回准确率为0.9184.另外，文件内含数据源。(The Bias classification is realized by MATLAB, and the training set and test set are selected by 90% off 10 times cross validation method, and the
红酒贝叶斯
- 红酒贝叶斯分类，用朴素分类器进行分类，可用。(Red wine Bias classification, using simple 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)
基于贝叶斯最小错误率手写数字识别
- 基于贝叶斯手写数字识别，基于MATLAB+GUB平台，手写0-9数字进行识别分类(Handwritten Number Recognition Based on Bayesian)
贝叶斯分类
- 通过python进行编程，运用贝叶斯算法原理，对iris数据集进行分类(Classification of iris data sets by Bayes)