M. Mohammadi

Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

[ 1 ] - Outlier Detection for Support Vector Machine using Minimum Covariance Determinant Estimator

The purpose of this paper is to identify the effective points on the performance of one of the important algorithm of data mining namely support vector machine. The final classification decision has been made based on the small portion of data called support vectors. So, existence of the atypical observations in the aforementioned points, will result in deviation from the correct decision. Thus...

Co-Authors

M. Sarmad 1