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2下载：
模式识别中Parzen窗函数的实现，模拟对二维高斯分布的非参估计。窗函数有三种：高斯窗、指数窗、方窗-Pattern Recognition Parzen window function of the realization, simulation of two-dimensional Gaussian distribution is estimated non-participation. There are three window function: Gaussian window, th
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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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产生一个高斯分布的模式类的样本，特征向量为二维的。-Generate a Gaussian distribution model of the class samples for the two-dimensional feature vectors.
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我自己写的关于二维混合高斯分布的EM算法-I wrote about the distribution of two-dimensional Gaussian mixture EM algorithm
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Kmean 算法Matlab实现，数据为二维高斯随机分布点-Kmean algorithm by Matlab, the data points for the two-dimensional Gaussian random distribution
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实现利用高斯分布聚类，即完成em算法，直接在matlab上运行，可以作图直观显示（二维数据）-Achieve Gaussian distribution clustering, complete em algorithm, running directly on matlab, you can visualize mapping (two-dimensional data)
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