Cluster-based instance selection for machine classification

  title={Cluster-based instance selection for machine classification},
  author={Ireneusz Czarnowski},
  journal={Knowledge and Information Systems},
Instance selection in the supervised machine learning, often referred to as the data reduction, aims at deciding which instances from the training set should be retained for further use during the learning process. Instance selection can result in increased capabilities and generalization properties of the learning model, shorter time of the learning process, or it can help in scaling up to large data sources. The paper proposes a cluster-based instance selection approach with the learning… CONTINUE READING
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