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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
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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
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使用matlab编写的bayes分类器，朴素贝叶斯分类器-Prepared using bayes classifier matlab
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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
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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
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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
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采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。-The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probabilit
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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
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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
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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
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采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本-Bayes classifier is the most classic! Minimize the classification error. With the matlab language, with examples
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采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.-Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-mak
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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.-Using matlab based on the Bayes minimum error rate classifier simulation, the preparation of the corresponding program.
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贝叶斯分类器的分类原理是通过某对象的先验概率，本文详细介绍贝叶斯分类器，使用贝叶斯分类器对样本进行训练分类，得到良好分类结果，并对分类结果进行分析。-Principle of Bayesian classifiers is through prior probability of an object, the paper describes Bayesian classifier, Bayesian classifier using the training sample classificat
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MATLAB 模式识别的小程序，最小错误率Bayes分类器的设计与检验等-MATLAB pattern recognition applet, Bayes minimum error rate classifier design and inspection
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bayesian classifier, naive bayesian classifier
algorithms are implementer using matlab 20-bayesian classifier, naive bayesian classifier
algorithms are implementer using matlab 2011
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在matlab环境下的一个朴素贝叶斯分类器，大家可以参考下-Matlab environment a Naive Bayes classifier, we can refer to the following
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在matlab环境下的一个朴素贝叶斯分类器，大家可以参考下-Matlab environment a Naive Bayes classifier, we can refer to the following
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Bayes分类器算法设计：一个详细的案例（正常细胞和异常细胞）-Bayes classifier algorithm design
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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)
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