يعرض 1 - 20 نتائج من 4,397 نتيجة بحث عن '(((( 59 nn decrease ) OR ( k means decrease ))) OR ( 50 mg decrease ))', وقت الاستعلام: 0.47s تنقيح النتائج
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    K-means++ clustering algorithm. حسب Zhen Zhao (159931)

    منشور في 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. حسب Fei Zhang (85787)

    منشور في 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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    Decreased clonogenic capacity of U87MG and U251MG glioma cells dependent on SHG-44 concentration. حسب Denis Mustafov (19137870)

    منشور في 2025
    "…<b>(B)</b> A significant decrease in the proliferative clonal capacity of U251MG colonies was observed with 50ΜM and 100ΜM SHG-44 treatment. …"
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    Data_Sheet_1_Dark triad personality traits are associated with decreased grey matter volumes in ‘social brain’ structures.docx حسب Artem Myznikov (11562496)

    منشور في 2024
    "…</p>Methods<p>We performed a clustering analysis of the Dirty Dozen Dark Triad questionnaire scores of 129 healthy subjects using the k-means method. The variance ratio criterion (VRC) was used to determine the optimal number of clusters for the current data. …"
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    Determining optimal k-means clusters. حسب Jordan H. Whitlock (10846109)

    منشور في 2024
    "…<p>K-means clustering indices of GTEx scaled normalized <i>SETBP1</i> and gene targets’ expression using (<b>A</b>) Elbow plot, 1–15 k-means clusters (x-axis) plotted by their total within-cluster sum of squared distances (inertia), where dashed blue line signifies the point at which the inertia decreases and represents a sufficient number of clusters. …"
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