kmeans clustering function (RStudio)
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RStudio
kmeans clustering function
Kmeans Clustering Function, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/k-means+algorithm+kmeans+function/kmeans+function/pmc11191086-219-3-15
Average 90 stars, based on 1 article reviews
Kmeans Clustering Function, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/k-means+algorithm+kmeans+function/kmeans+function/pmc11191086-219-3-15
Average 90 stars, based on 1 article reviews
kmeans clustering function - by Bioz Stars,
2026-11
90/100 stars
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other:Article Title: Reconstructing and testing neighborhoods at the Maya city of Caracol, Belize Article Snippet: Following prior uses of k-means clustering (e.g., Robertson et al., 2005; Robin, 2003:330–331; Smith and Novic, 2012:11–12), I applied R’s Article Title: It’s about time! Exploring time allocation patterns of adults with lower literacy skills on a digital assessment Article Snippet: We employed the ‘kmeans’ clustering function from the stats package, a Article Title: Strigolactone induces D14-dependent large-scale changes in gene expression requiring SWI/SNF chromatin remodellers. Article Snippet: Article Title: Strigolactone signalling inhibits trehalose 6-phosphate signalling independently of BRC1 to suppress shoot branching. Article Snippet: The normalised expression matrix was scaled to a Z-scale matrix, and the k-means function in Article Title: Phenotypic evaluation of USDA peanut ( <i>Arachis hypogaea</i> L.) mini-core collection for resistance against stem rot caused by <i>Sclerotium rolfsii</i> Sacc. Article Snippet: Sclerotium rolfsii is a necrotrophic fungus that causes devastating stem rot disease on peanuts under high temperature and humidity conditions.. Developing more resistant stem rot varieties is a better disease management strategy from an economic and environmental point of view. in this study, 105 peanut accessions from the UsDa mini-core collection were screened for resistance against stem rot under growth chamber and greenhouse conditions at the New Mexico state University agricultural science center in clovis, NM, Usa. the accessions were inoculated with a virulent isolate of S. rolfsii, and disease development was monitored and scored at 5, 7, 9, 11, and 17-days post-inoculation (DPi).. Mean disease score, lesion length and broad sense heritability were calculated, and cluster analysis was performed. though the accessions were not significantly different for the mean disease parameters, numerical differences were observed in disease score and lesion length among the accessions at 17-DPi. eleven accessions showed moderate resistance and performed better than stem rot resistant commercial cultivar, ‘G03l’, and ninety-four accessions were susceptible based on mean disease scores under both growing conditions. low broad-sense heritability for disease score (0.05 to 0.06) and lesion length (0.03 to 0.06) under different environments indicates that most of the variance for these traits is due to environmental effects, and that stem rot resistance can be a complex trait. the identified resistant accessions can be used for genotyping and finding major Qtls through genome-wide association mapping to dissect genetic basis of stem rot resistance in peanuts. this information would be helpful to the peanut breeding program to develop more resistant varieties. Article Title: The G Protein Estrogen Receptor (GPER) is involved in the resistance to the CDK4/6 inhibitor palbociclib in breast cancer Article Snippet: K-means clustering was performed on ER-positive BC samples of the METABRIC dataset by using the kmeans( Article Title: An Individualized, Data-Driven Biological Approach to Attention-Deficit/Hyperactivity Disorder (ADHD) Heterogeneity. Article Snippet: One theory that utilizes a temperament perspective to improve understanding of ADHD heterogeneity and etiology is Nigg’s Multiple Pathway Model (Nigg et al., 2004).. To explain clusters of primary symptoms, secondary characteristics, and comorbid behaviors related to ADHD, six pathways are described: (1) reduced regulatory control and secondary hyperarousal to negative stimuli leads to Attention-deficit/hyperactivity disorder (ADHD) is the most commonly diagnosed mental health disorder in childhood (i.e., 11% world-wide; Polanczyk et al., 2014).. However, there is well-established heterogeneity in both the presentation of ADHD symptoms (i.e., inattention and/ or hyperactivity/impulsivity) and secondary characteristics (e.g., autonomic and emotion dysfunction) across the literature. Article Title: Gut bacteria at 6 months of age are associated with immune cell status in 1‐year‐old children Article Snippet: These methods were performed in the |