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k-means procedure  (SAS institute)


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    SAS institute k-means procedure
    K Means Procedure, supplied by SAS institute, 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+procedure/means+procedure++paired+t+test+/pm37958066-91-6-12
    Average 90 stars, based on 1 article reviews
    k-means procedure - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Microarray:

    Article Title: The utility of a type 2 diabetes polygenic score in addition to clinical variables for prediction of type 2 diabetes incidence in birth, youth and adult cohorts in an Indigenous study population
    Article Snippet: To reduce the influence of linkage disequilibrium among variants in close physical proximity, the genome was divided into bins of ~200kb using the k-means procedure (PROC FASTCLUS in SAS), resulting in 25,763 bins across the genome.

    Article Title: Clustering of Microarray data via Clique Partitioning
    Article Snippet: Computational experience is also presented showing the performance of our new model for the problem of clustering Microarray data, making reference to outcomes obtained from SAS’s K-means procedure to provide a benchmark of comparison.

    Article Title: Effect of Environmental and Farm-Associated Factors on Live Performance Parameters of Broilers Raised under Commercial Tropical Conditions.
    Article Snippet: The clusterization method used was the k-means procedure [40] in JMP 15 (SAS Institute, Cary, NC, USA).

    Comparison:

    Article Title: The utility of a type 2 diabetes polygenic score in addition to clinical variables for prediction of type 2 diabetes incidence in birth, youth and adult cohorts in an Indigenous study population
    Article Snippet: To reduce the influence of linkage disequilibrium among variants in close physical proximity, the genome was divided into bins of ~200kb using the k-means procedure (PROC FASTCLUS in SAS), resulting in 25,763 bins across the genome.

    Article Title: Clustering of Microarray data via Clique Partitioning
    Article Snippet: Computational experience is also presented showing the performance of our new model for the problem of clustering Microarray data, making reference to outcomes obtained from SAS’s K-means procedure to provide a benchmark of comparison.

    Article Title: Effect of Environmental and Farm-Associated Factors on Live Performance Parameters of Broilers Raised under Commercial Tropical Conditions.
    Article Snippet: The clusterization method used was the k-means procedure [40] in JMP 15 (SAS Institute, Cary, NC, USA).



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