文件名称:gaussianSrc
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The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.-The EM algorithm is short for Expectation - Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points are generated by a mi xture of Gaussians. The numbers next to the Gaus sians give the relative importance (amplitude ) of each component.
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压缩包 : 65520778gaussiansrc.rar 列表 gaussianSrc gaussianSrc\gaussianSrc gaussianSrc\gaussianSrc\html gaussianSrc\gaussianSrc\html\index.html gaussianSrc\gaussianSrc\src gaussianSrc\gaussianSrc\src\CurvedGaussian.java gaussianSrc\gaussianSrc\src\Database.java gaussianSrc\gaussianSrc\src\Mixture.java gaussianSrc\gaussianSrc\src\MixtureEM.html gaussianSrc\gaussianSrc\src\MixtureEM.java gaussianSrc\gaussianSrc\src\Module.java gaussianSrc\gaussianSrc\src\Uniform.java gaussianSrc\html gaussianSrc\html\index.html gaussianSrc\src gaussianSrc\src\CurvedGaussian.java gaussianSrc\src\Database.java gaussianSrc\src\Mixture.java gaussianSrc\src\MixtureEM.html gaussianSrc\src\MixtureEM.java gaussianSrc\src\Module.java gaussianSrc\src\Uniform.java