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.

gaussianSrc
...........\gaussianSrc
...........\...........\html
...........\...........\....\index.html
...........\...........\src
...........\...........\...\CurvedGaussian.java
...........\...........\...\Database.java
...........\...........\...\Mixture.java
...........\...........\...\MixtureEM.html
...........\...........\...\MixtureEM.java
...........\...........\...\Module.java
...........\...........\...\Uniform.java
...........\html
...........\....\index.html
...........\src
...........\...\CurvedGaussian.java
...........\...\Database.java
...........\...\Mixture.java
...........\...\MixtureEM.html
...........\...\MixtureEM.java
...........\...\Module.java
...........\...\Uniform.java

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