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.
標(biāo)簽：
algorithm
Expectation-Maximization
iterative
optimi
上傳時間：
2015-06-17
上傳用戶：獨(dú)孤求源
