Binary classification algorithms

International Journal of Development Research

Article ID: 
7 pages
Research Article

Binary classification algorithms

Roumen Trifonov, Daniela Gotseva and Vasil Angelov


The classification is a vital part of the Data mining process. It can be accomplished by different algorithms, divided into various groups. Those groups are based on machine learning techniques such as frequency tables, covariance matrices and other analytical statistical approaches. Each of the presented groups has its own advantages and disadvantages and therefore is applicable to a specific situation. The situation is determined by the objects that need to be classified into separate groups, also called object domains. Significant part of the domain cases is represented by two classes. This fact brings forward the need of defining binary classification.

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