,
,Expectation-Maximization algorithm can be used for the latent variables too
in order to predict their values with the condition that the general form of
probability distribution governing those latent variables is known to us. This
algorithm is actually at the base of many unsupervised clustering algorithms in
the field of machine learning.
,
,Expectation-Maximization algorithm can be used for the latent variables too
in order to predict their values with the condition that the general form of
probability distribution governing those latent variables is known to us. This
algorithm is actually at the base of many unsupervised clustering algorithms in
the field of machine learning.
,