Search alternatives:
means decrease » deaths decreased (Expand Search)
mean decrease » a decrease (Expand Search)
mg decrease » a decrease (Expand Search), nn decrease (Expand Search), we decrease (Expand Search)
means decrease » deaths decreased (Expand Search)
mean decrease » a decrease (Expand Search)
mg decrease » a decrease (Expand Search), nn decrease (Expand Search), we decrease (Expand Search)
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K-means++ clustering algorithm.
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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Data_Sheet_1_Dark triad personality traits are associated with decreased grey matter volumes in ‘social brain’ structures.docx
Published 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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K-means results.
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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Determining optimal k-means clusters.
Published 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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