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Ways of Doing Semi-supervised algorithm Transductive SVM ( minimize the risk directly ) Co-training and Tri-training ( using two/three different view of the same datasets) Genetic Algorithm Non-parametric approach ( modified KDE convergence algorithm ) Parametric approach ( modified EM algorithm ) Graph-based approach