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k-means clustering algorithm matlab function kmeans  (MathWorks Inc)


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    MathWorks Inc k-means clustering algorithm matlab function kmeans
    K Means Clustering Algorithm Matlab Function Kmeans, 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+clustering+algorithm+function/pmc06786638-263-11-17
    Average 90 stars, based on 1 article reviews
    k-means clustering algorithm matlab function kmeans - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Differential expression of spatiotemporal sleep spindle clusters in ageing
    Article Snippet: We applied a k-means clustering algorithm for mixed numeric and categorical data , implemented in MATLAB v2023a.

    Article Title: In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer
    Article Snippet: Both the metabolic and vascular ratios and the UMAP output were clustered using a k-means clustering algorithm (built-in to MATLAB, Mathworks, Natick, MA, USA) for both mammary and tumor tissue data.

    Article Title: Role of forelimb morphology in muscle sensorimotor functions during locomotion in the cat
    Article Snippet: MTUs were classified into functional groups using the k-means clustering algorithm of MATLAB (The MathWorks, Inc., Natick, MA, USA).

    Article Title: Effect of Strain on the Photocatalytic Reaction of Graphitic Carbon Nitride: Insight from Single-Molecule Localization Microscopy
    Article Snippet: K-means clustering algorithm To classify the different behaviours within individual nanosheets based on their CI scores, the K-means clustering algorithm in the Live Editor, MATLAB was used.

    Article Title: Preoperative gait pattern as predictor of gait changes following selective dorsal rhizotomy.
    Article Snippet: A K-means clustering algorithm was then used in MATLAB 2017b with the same joint angles as input to perform a cluster analysis.

    Article Title: Electrical-thermal-electrochemical insights of the PEMWE stack in the accelerated stress test protocol powered by renewable energy
    Article Snippet: Hydrogen production by proton exchange membrane water electrolysis (PEMWE) is considered a pivotal technology for renewable energy storage, utilization and conversion.. In this study, based on one-year output data of photovoltaic (PV) and wind power (WP) generation in North China region, a K-means clustering algorithm was employed to extract the typical working conditions of PV and WP.. The accelerated stress test (AST) protocols applicable to PEMWE stacks were proposed.

    Article Title: Modeled grid cells aligned by a flexible attractor
    Article Snippet: A k-means clustering algorithm was applied to the pool of all maxima in the simulation (MATLAB kmeansfunction, with k=6, otherwise default parameters and 10 repetitions to avoid local minima).



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