Applicable scenario ： Existence as Unmeasured variable Under the circumstances , Estimate the model parameters .

EM Algorithm ：

input： Observation data Y, For observational data Z, Joint distribution P(Y,Z|θ), Conditional distribution P(Z|Y,θ)

output： Model parameters θ

step ：

（1） Choose the initial value of the parameter to iterate

（2）E Step ： Expect

（3）M Step ： Maximize the current θ

（4） repeat （2）（3） We know that the algorithm converges

Example ： The different shapes of Peas .

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