Family of Instance Reduction Algorithms Versus Other Approaches

摘要

The goal of the paper is to compare the performance of instance reduction algorithms (IRA) with other approaches. The paper briefly describes a family of instance reduction algorithms proposed by the authors. To evaluate their performance the computational experiment is carried out. The experiment involves comparing a performance of IRA with several other approaches using alternative machine learning classification tools.