| LogLikelihood4Mixtures {AdaptGauss} | R Documentation |
Computes the LogLikelihood for Gaussian Mixture Models.
LogLikelihood4Mixtures(Data, Means, SDs, Weights, IsLogDistribution)
Data |
Data for empirical PDF. Has to be an Array of values. NaNs and NULLs will be deleted |
Means |
Optional: Means of gaussians of GMM. |
SDs |
Optional: StandardDevations of gaussians of GMM. (Has to be the same length as Means) |
Weights |
Optional: Weights of gaussians of GMM. (Has to be the same length as Means) |
IsLogDistribution |
Optional, ==1 if distribution(i) is a LogNormal, default vector of zeros of length 1:L |
List with
LogLikelihood |
LogLikelihood = = sum(log(PDFmixture) |
LogPDF |
=log(PDFmixture) |
PDFmixture |
die Probability density function for each point |
Alfred Ultsch, Catharina Lippmann
Pattern Recogintion and Machine Learning, C.M. Bishop, 2006, isbn: ISBN-13: 978-0387-31073-2, p. 433 (9.14)