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Showing 1 - 20 results of 749 for search '(( third ((((larger decrease) OR (marked decrease))) OR (mean decrease)) ) OR ( k means decrease ))', query time: 0.65s Refine Results
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    K-means++ clustering algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    K-means results. by Fei Zhang (85787)

    Published 2025
    “…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”
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    Effects of GJE extract treatment decreased expression of NF-kB p65. by Natnicha Suttawong (22367172)

    Published 2025
    “…Brown color represents NF-kB p65 positive staining. The percentage of positive staining for NF-kB p65 (E). …”
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    Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively.... by Zoë Parker Cates (22184243)

    Published 2025
    “…The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively. …”
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    Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Thirdly, the relevant e high temperature indices of plain urban area were larger while the relevant low temperature indices of mountain hilly area were smaller. …”
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    Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Thirdly, the relevant e high temperature indices of plain urban area were larger while the relevant low temperature indices of mountain hilly area were smaller. …”
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