On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures

Abstract

Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on the expectation-maximization algorithm, the maximum likelihood estimates of the model parameters can be iteratively computed in an elegant way. Unfortunately, in some cases the… (More)

Topics

2 Figures and Tables

Statistics

01020'04'06'08'10'12'14'16'18
Citations per Year

51 Citations

Semantic Scholar estimates that this publication has 51 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics