Computing responsibilities
Prior for
Gaussian i
• In order to adjust the
parameters, we must
first solve the inference
problem: Which
Gaussian generated
each datapoint, x?
– We cannot be sure,
so it’s a distribution
over all possibilities.
• Use Bayes theorem to
get posterior
Mixing proportion
Product over all data dimensions