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k-means function  (MathWorks Inc)


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    MathWorks Inc k-means function
    K Means Function, supplied by MathWorks Inc, 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+function/med_rxiv__2025__07__11__25331379-210-7-7
    Average 90 stars, based on 1 article reviews
    k-means function - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Shedding light on the dynamic interplay of positive and negative symptoms of psychosis with Behavioral Tractography
    Article Snippet: We also applied k-means clustering using the MATLAB k-means function to identify subgroups that differentially expressed such SIPS-Dimensions and compared both SIPS and EMA item intensity across the resulting subgroups using a two-sample t-test.

    Article Title: Predicting Protein Pathways Associated to Tumor Heterogeneity by Correlating Spatial Lipidomics and Proteomics: The Dry Proteomic Concept
    Article Snippet: For the segmentation process, the k -means++ algorithm was utilized, implemented as the ' k- means' function in the MATLAB Statistics Toolbox.

    Article Title: Heterogeneity Assessment and Protein Pathway Prediction via Spatial Lipidomic and Proteomic Correlation: Advancing Dry Proteomics concept for Human Glioblastoma Prognosis.
    Article Snippet: For the segmentation process, the k-means++ algorithm was utilized, implemented as the 'k-means' function in the MATLAB Statistics Toolbox.

    Article Title: Functionally distinct GABAergic amacrine cell types regulate spatiotemporal encoding in the mouse retina.
    Article Snippet: To evaluate the subgroups in the response measures, we performed k-means clustering using MATLAB k-means function (Extended Data Fig. 3).

    Article Title: Functionally distinct GABAergic amacrine cell types regulate spatiotemporal encoding in the mouse retina
    Article Snippet: To evaluate the subgroups in the response measures, we performed k -means clustering using MATLAB k -means function (Extended Data Fig. ).

    Article Title: Cyclic mechanical loading of photopolymerized methacrylated hydrogels for probing interdependent effects of strain, stiffness, and substrate composition in pulmonary fibrogenesis.
    Article Snippet: K-means clustering was performed in MATLAB using the k-means function with three clusters and replicate option of 10 replicates.

    Article Title: Auditory cortex neurons that encode negative prediction errors respond to omissions of sounds in a predictable sequence
    Article Snippet: The k -means clustering analysis was performed using the k -means function in MATLAB with 10 replicates for each cluster number.

    Article Title: Auditory cortex neurons that encode negative prediction errors respond to omissions of sounds in a predictable sequence.
    Article Snippet: The k-means clustering analysis was performed using the k-means function in MATLAB with 10 replicates for each cluster number.



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