Using SAS/IML : This code uses the EM algorithm to estimate the maximum likelihood (ML) covariance matrix and mean vector in the presence of missing data. This implementation of the EM algorithm or any similar ML approach assumes that the data are

Build a decision tree (DT) classfier using the following three strategies for stopping growth of a tree: i) threshold on the decrease in impurity ii) threshold on the number of data vectors at a node iii) grow the tree as much as possible and the