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BIOINFORMATICSORIGINAL Paperboy. 21 no. 10 2005, pages 23092314 DOI:10.1093/bioinformatics/bti346PhylogeneticsSelforganizing and self-correcting classifications of biological data George M. Garrity1,
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Self-organizing and self-correcting classifications refer to a system that can automatically adjust and correct its categories or groups based on new data or feedback.
Any entity or individual who is using self-organizing and self-correcting classifications in their data processing or decision-making is required to file them.
Self-organizing and self-correcting classifications can be filled out by providing detailed information on the algorithm or system used, the data sources, and any criteria for adjustments or corrections.
The purpose of self-organizing and self-correcting classifications is to ensure that the categories or groups generated by the system remain accurate and up-to-date without manual intervention.
Information that must be reported on self-organizing and self-correcting classifications includes the algorithm used, data sources, any adjustments made, and the reasons for those adjustments.
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