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k-means matlab function  (MathWorks Inc)


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    MathWorks Inc k-means matlab function
    K Means Matlab 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/pm40539497-141-60-62
    Average 90 stars, based on 1 article reviews
    k-means matlab function - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Live imaging of ERK signalling dynamics in differentiating mouse embryonic stem cells
    Article Snippet: Data analysis For clustering time series data, FRET tracks of single cells of individual experiments were clustered using the k-means MATLAB function.

    Article Title: Live imaging of ERK signalling dynamics in differentiating mouse embryonic stem cells
    Article Snippet: For clustering time series data, FRET tracks of single cells of individual experiments were clustered using the k-means MATLAB function.

    Article Title: Subtyping of common complex diseases and disorders by integrating heterogeneous data. Identifying clusters among women with lower urinary tract symptoms in the LURN study
    Article Snippet: We then partitioned each of the subsets into clusters using a k-means clustering algorithm implemented as k-means MATLAB function (with option ‘number of replicates’ = 8, see [ ] for the explanation on the need of this option); with number of clusters K scanned from 2 to 12.

    Article Title: How Orienting and Defence Drives Oscillatory Responses in Human Visual and Motor Cortical Circuits During Viewing of Threat Pictures: Evidence From ssVEPs and Beta-Band Desynchronization.
    Article Snippet: Based on previous reports (Echegaray and Moratti 2021; Hodes et al. 1985; Klorman et al. 1977; Moratti et al. 2006), the HR change time series for the threat- related pictures entered a confirmatory K- means cluster algorithm explicitly searching for two clusters using the squared Euclidian distance and 1000 replicates (trying 1000 different initial cluster centroids) as implemented in the K- means Matlab function.

    Article Title: Fourier Transform Infrared Microscopy Enables Guidance of Automated Mass Spectrometry Imaging to Predefined Tissue Morphologies
    Article Snippet: Segmentation of the hyperspectral FTIR data cube was achieved by applying the k-means++ MATLAB function of the Statistics and Machine Learning toolbox.



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