|Arabian journal of business and management review presents current trends in linear discriminant analysis with high degree of interest. The Journal Publishes articles related to linear discriminant analysis as special editions and the published contest is peer reviewed.
Linear discriminant analysis (LDA) is used in statistics, pattern recognition and machine learning. The main purpose of a linear discriminant analysis is to predict group membership based on a linear combination of the interval variables. Fisher linear discriminant is methods used to find a linear combination of features which separates or characterizes two or more classes of objects. The resulting combination may be used as a linear classifier.
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