Binary classification algorithms
International Journal of Development Research
Binary classification algorithms
Received 17th August 2017; Received in revised form 08th September, 2017; Accepted 04th October, 2017; Published online 29th November, 2017
Copyright ©2017, Roumen Trifonov et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
