Consider the 1-D data (1, 4, 9); we want to use the Gaussian mixture model having two Gaussians to fit this data and find the parameters using the EM. The initial means for the two Gaussians are 3 and 6, respectively. The Variance for both the Gaussians is given as 0.5. Both the Gaussians have uniform prior probabilities. After how many iterations, the algorithm will converge and give the final value of the means of two Gaussians. Also, state the