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SIGNIFICANCE OF SELECTION ALGORITHMS IN DATA PROCESSING

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Zenodo2026-04-30 更新2026-05-26 收录
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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
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