Databases Reduction Simultaneously by Ordered Projection

In this paper, a new algorithm Database Reduction Simulta neously by Ordered Projections (RESOP) is introduced. This algorithm reduces databases in two directions: editing examples and feature se lection simultaneously. Ordered projections techniques have been used to design RESOP taking advantage of symmetrical ideas for two dif ferent task. Experimental results have been made with UCI Repository databases and the performance for the latter application of classification techniques has been satisfactory