Linear Discriminant Analysis

Arabian journal of business and management review archives quality publication in the field of linear discriminant analysis. Papers published under business and management is peer reviewed and open access archives. Journal mainly focuses on statistics, pattern recognition and machine learning in linear discriminant analysis. 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. OMICS International is one of the very fewer well-established Open Access publishers in the world. The Group currently running around 500 open access journal that are publishing high quality peer reviewed content in the respective fields. The Pioneer publisher now offering it services in Medicine, Engineering & technology and Life sciences. 50,000+ editorial board members upholding the quality standards OMICS Peer reviewed Journals.