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bayes分类器 Bayes classifier for Gaussian distributiuon 直接可以解压缩-Bayes classifier Bayesian classifier for Gaussian di stributiuon can directly extract
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贝叶斯分类器,模式识别,贝叶斯规则用于C个类,高斯函数建模-Bayesian classifier, pattern recognition, Bayesian rules for C-class, the Gaussian function modeling
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本贝叶斯分类器可以实现对二维高斯分布样本的分类-The Bayesian classifier can achieve two-dimensional Gaussian distribution of the classification of samples
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图像模式识别中使用的高斯型贝叶斯分类器,提供完整的参数选择-Gaussian Bayesian classifier
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上传-混合高斯贝叶斯网络分类器,有数据可以直接运行,互相交流,互相学习。-Upload- Gaussian mixture Bayesian network classifier, the data can be directly run, exchange, learn from each other.
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模式识别某次课程的作业,完成了高斯分布下的两种贝叶斯分类器,以及非参数的K近邻、Parzen窗方法,采用UCI机器学习数据库中的某些数据作为样本,使用交叉验证方法确定参数-Pattern recognition of a particular course work, completed under the two Gaussian Bayesian classifier, and the non-parametric K-nearest neighbor, Parzen window meth
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贝叶斯分类器,首先生成3000个高斯分布的点,1000个点做训练集,2000个点做测试集。先运行data_generator.m自动生成两个集盒,再运行bayes_classifier.m进行分类-Bayesian classifier, the first generation 3000 Gaussian distribution of points, 1000 points to do the training set, 2000 points to do the test set. Aut
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最简单的贝叶斯分类器和高斯方法的结合案例 可直接运行 适合初学者-Combined with the simplest case of Bayesian classifier and Gaussian methods can be run directly suitable for beginners
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