In Multivariate Statistics (II), our aim is to study some statistical analysis techniques (Discrimination and Classification Analysis(DCA), Multidimensional Scaling(MDS), Correspondence Analysis(CRA), Biplots), In particular, MDS, CRA and Biplost are very useful multivariate visualization techniques which can be applied in Big Data and Data Mining. In addition, we have two special lectures for Machine Learnings(MLs): SVM(support vector machine) and ANN(artficial neural network). Moreover in this lecture, we have a good chance to learn R-codes for programing some algorithms related with DCA, MDS, CRA , SVM and ANN.
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