Analysis of Multimodal Data for Classification Problems by Using Methods of Machine Learning

Analysis of multimodal data methods, that helps increase general accuracy and also variations of KNN classification for risk minimization methods are offered in this work. Improving accuracy of KNN classification is the subject of research. Research methods, uses in this work, are comparison, analysis, induction, experiment. This work aimed at improving classification accuracy of KNN by comparison of already existing algorithms and offering new ones.