Maximum Likelihood Estimation



Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation

An arbitrary 3-class dataset is given (by Dataset.mat) and the priors are equal.



Step 2. : If three arbitrary samples are given as follows, determine to which class each sample should belong.

Let arbitrary samples are as follows: Z_1=[50 50]^T, Z_2=[10 20]^T, Z_3=[0 20]^T-Maximum Likelihood Estimation



Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation

An arbitrary 3-class dataset is given (by Dataset.mat) and the priors are equal.



Step 2. : If three arbitrary samples are given as follows, determine to which class each sample should belong.

Let arbitrary samples are as follows:　Z_1=[50　50]^T, Z_2=[10　20]^T, Z_3=[0　20]^T