Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP 5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP4), based on NFHS-4. by Bindhy Wasini Pandey (18794176)

Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

Parameters for linear regression. by Dania AL-Najjar (11840857)

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Effect of step-by-step filling and compaction on the coarse aggregates. by Zhijun Liu (35566)

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Results of the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

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Gradation of the fine aggregates determined by step-by-step filling. by Zhijun Liu (35566)

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Statistically significant clusters for each contrast by the group analysis (n = 29). by Yuji Uchiyama (135480)

Clustering based on out-of-sample error. by James Anibal (13899712)

Significant clusters of areas with high pre-lacteal feeding practice in Ethiopia, 2016. by Achamyeleh Birhanu Teshale (8357232)

Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>M</i>. <i>exasperatus</i>. by Zafrir Kuplik (6569579)

Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>P</i>. <i>mytiligera</i>. by Zafrir Kuplik (6569579)

Summary of the significant cluster composition from the seed-based connectivity analysis of the olfactory region (covering ≥ 10% of the regions). by Sadeq Mohammadi (22622219)

“…<p>Summary of the significant cluster composition from the seed-based connectivity analysis of the olfactory region (covering ≥ 10% of the regions).…”

Clustering results based on ward’s method. by Karine Torosyan (17002113)

“…This study fills the gap by examining employment trends based on similarities between occupations.</p><p>Method</p><p>We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. …”

Significance (p-value), standard error, and R² scores for the linear relation between maximum dispersal distance and cross-validated AUC (AUC-cv) across all the network... by Damian O. Ortiz-Rodríguez (17343308)

General linear mixed model coefficients and significance for species-specific ungulate intensity of use as a function of cattle grazing period. by Kathryn Knodel (20036529)

Gradation determined by the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

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Clusters of significant altered cortical thickness between HIV-infected patients groups. by Rafael Ferracini Cabral (11824637)

Cluster dendrogram based on MMD values. by Erica Piccirilli (17200066)

Heatmap based on partitioning around medoids cluster analysis. by Fiona McAuliffe (18265159)