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A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the classification performance. As there is little theory of information fusion itself, currently the authors are faced with different methods designed for different problems and producing different results. This paper presents the survey of various classification techniques for getting the optimal result applying with fusion technique. Classification is the example of supervised learning. Classification is a data mining function that assigns items in a collection to target categories or classes.
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