SIGNIFICANCE OF SELECTION ALGORITHMS IN DATA PROCESSING
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This work focuses on the application of selection algorithms for reducing training datasets in classification tasks. The method analyzes the structure of data using distance-based measures and identifies less informative or redundant objects for removal. As a result, a more compact and efficient dataset is obtained, which improves computational performance and supports accurate model learning.
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Zenodo创建时间:
2026-04-30



