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bayes
- navie bayes classifier
Bayes
- 使用Matlab实现，包括一维特征最小错误率bayes分类器；二维特征最小错误率bayes分类器；二维特征最小风险bayes分类器以及使用的数据集合。-Using the Matlab implementation, including the minimum error rate of one-dimensional characteristics of bayes classifier two-dimensional characteristics of the minimum error
Bayes
- 使用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序，分为协方差相等和不相等两种情况，最后画出了三类的分界线-Using matlab to the smallest error rate based on the Bayes classifier to carry out simulation, the preparation of the corresponding procedures, divided into equal covariance and unequ
Bayes_example
- Bayes分类器应用于IRIS数据集的例子-An example of Bayes Classifier applied on IRIS Data Set
judger
- 最小错误率和最小风险贝叶斯分类器，附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data
Bayes
- 一个比较简单的模式识别问题。用female.txt 和male.txt 的数据作为训练样本集，建立Bayes 分类器，用测试样本数据set1.txt、set2.txt、set3.txt 对该分类器进行测试,分别应用单个特征及两个特征进行实验-A relatively simple pattern recognition problem. Female.txt and male.txt use data as a training sample set, the establishment of
BNC
- 朴素贝叶斯分类器（Naive Bayes Classifier），可以分类任意属性个数和目标状态的离散样例。-Naive Bayesian classifier (Naive Bayes Classifier), can be categorized arbitrary number of attributes and objectives of the state of the discrete sample.
Bayes
- 贝叶斯分类实验，设计简单的线性分类器，了解模式识别的基本方法。掌握利用贝叶斯公式进行设计分类器的方法。-Bayesian classification experiment is designed to be simple linear classifier, know the basic methods of pattern recognition. Master the use of Bayesian classifier design formula method.
bayes
- 基本的Bayes线性分类器算发，可以直接运行，结果显示样本以及分类后情况。-Basic linear Bayes classifier fat count can be run directly, as well as the classification results showed that after the sample.
bayes
- 贝叶斯文本分类器文档贝叶斯文本分类器文档-Bayesian text classifier Bayes Text Classifier Document Document
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
bayesclassifier0
- bayes分类器，脱机手写识别，含实验数据-bayes classifier, off-line handwriting recognition, with the experimental data
Bayes
- Bayes分类器算法设计的matlab码 注释详细 大家一起学习啊-Bayes classifier algorithm design of the matlab code comment in detail with everyone to learn ah
Naive_Bayes_demo
- 使用Naive Bayes Classifier去分类binary data并绘出正确图表-Using the Naive Bayes Classifier to classify binary data and draw the correct diagram
BAYES
- 有几类样本点，利用BAYES分类器求出其分界面，并分析这类分类器的特点。-There are several types of sample points, using BAYES classifier obtained its sub-interface, and analyze the characteristics of such classification.
Minimum-Bayes-classifier-error-rate
- 这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度
naive-bayes-classifier
- 程序实现了naive bayes classifier， 并附有对美国参议院根据投票情况来判断议员属于民主党还是共和党的例子。-Program achieved a naive bayes classifier, along with the U.S. Senate voting to determine under Democrat and Republican members belonging examples.
bayes-classifier-
- 程序展示了bayes classifier对于连续数据的应用，假设数据均服从高斯分布。程序包含了binary classification和multi-classification的例子。-Program shows bayes classifier for continuous data applications, assume that the data are Gaussian. Program includes a binary classification and multi-clas
native-bayes-classifier
- 朴素贝叶斯算法的源代码实现，（含训练数据）-to achieve native bayes classifier
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)