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.

Packet : 65520778gaussiansrc.rar filelist
gaussianSrc
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gaussianSrc\gaussianSrc\html\index.html
gaussianSrc\gaussianSrc\src
gaussianSrc\gaussianSrc\src\CurvedGaussian.java
gaussianSrc\gaussianSrc\src\Database.java
gaussianSrc\gaussianSrc\src\Mixture.java
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gaussianSrc\gaussianSrc\src\MixtureEM.java
gaussianSrc\gaussianSrc\src\Module.java
gaussianSrc\gaussianSrc\src\Uniform.java
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gaussianSrc\src
gaussianSrc\src\CurvedGaussian.java
gaussianSrc\src\Database.java
gaussianSrc\src\Mixture.java
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gaussianSrc\src\MixtureEM.java
gaussianSrc\src\Module.java
gaussianSrc\src\Uniform.java

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