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

Survival covariate significance in survival prediction. by Teemu J. Rintala (19333003)

Subjects:

Significant clusters of overweight/obesity among reproductive age women, EDHS 2016. by Ermias Bekele Enyew (12152258)

Distribution of digital financial inclusion impact on carbon intensity gap in agriculture by province. by Lingzhi Tan (19146572)

Significant clusters for zero-dose children aged 12-23 months in Ethiopia, 2023. by Berhanu Fikadie Endehabtu (9218109)

Heat map of hierarchical clustering analysis based on the significantly changed miRNA expression between BrS patients and controls. by Yoshihiro Ikeuchi (12646774)

Clustering results based on AAPS and AAPK. by Shijian He (16893450)

“…Subsequently, the K-means clustering algorithm is utilized for road segment classification based on APS and APK indicators. …”

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

Mean differences based on participation in cluster farming. by Guyo Godana Dureti (18389027)

Subjects:

MetaMapp network analysis identifies significant metabolite clusters at day 3 IR. by Lauren G. Buss (17419758)

Consensus clustering of epilepsy patients based on DEGs between m7G clusters. by Jiangli Zhao (2308330)

Subjects:

Significant decrease of the viability of A375 melanoma cells after CD treatment. by Lena Berning (7430117)

Comparing demographic data (mean values). by Tamer Shousha (10960632)

Subjects:

Pairs of musical genres with significant differences for clusters formed with the ASVD components, according to Tukey’s test. by Dirceu de Freitas Piedade Melo (9635241)

Summary of significant submodules detected by the best performing FN and Spectral clustering algorithms. by Zerrin Isik (5736857)

Significant clusters for timely completion of vaccination in Ethiopia using 2019 EDHS data. by Muluken Chanie Agimas (17478947)

Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions. by Lingzhi Tan (19146572)

Genes significantly affected by deletion of <i>ryfA</i>. by Hicham Bessaiah (6840980)

“…Hierarchical grouping of differentially expressed genes shows clustering. Z-scores are computed on a gene-by-gene basis by subtracting the mean and then dividing by the standard deviation. …”

Development of clusters of themes and emergent themes from the significant statements and formulated meanings. by Awinaba Amoah Adongo (21637561)