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kmeans algorithm  (MathWorks Inc)


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    MathWorks Inc kmeans algorithm
    Kmeans Algorithm, 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/kmeans+algorithm/pm40113162-381-2-1
    Average 90 stars, based on 1 article reviews
    kmeans algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Thermoelectric Enhancement in Single Organic Radical Molecules.
    Article Snippet: In the case of the 2D histograms, the zero tip-sample displacement is set for each IZ curve on the monoatomic Au-Au breakage. b. Conductance experiments and clustering technique: The clustering analysis applied was based on the kmeans algorithm supported by Matlab.

    Article Title: Three-dimensional mandibular kinematics of mastication in the marsupial Didelphis virginiana .
    Article Snippet: Didelphis virginiana (the Virginia opossum) is often used as an extant model for understanding feeding behaviour in Mesozoic mammaliaforms, primarily due to their morphological similarities, including an unfused mandibular symphysis and tribosphenic molars.. However, the three-dimensional jaw kinematics of opossum chewing have not yet been fully quantified.. We used biplanar videofluoroscopy and the X-Ray Reconstruction of Moving Morphology workflow to quantify mandibular kinematics in four wildcaught opossums feeding on hard (almonds) and soft (cheese cubes) foods.

    Article Title: Direct and indirect effects of perception on generalization gradients.
    Article Snippet: Next, a cluster analysis using the kmeans algorithm, as implemented in MATLAB (Hofmans et al., 2015), was used to identify groups of participants (called clusters) with similar perceptual performance across the stimulus dimension (i.e., the probability distributions of perceptual errors).

    Article Title: Inverse Cauchy problem in the framework of an RBF-based meshless technique and trigonometric basis functions
    Article Snippet: The purpose of this paper is to point out that it is possible to evaluate the approximation solution of elliptic Partial differential equations (PDEs) on regular and irregular domains where no boundary conditions are defined on some part of the boundary domain.. In the presence of trigonometric basis functions (TBFs), the backward substitution method (BSM) coupled with the radial basis functions neural network (RBFNN) is implemented very easily and works well.. As a result, the approximation of the boundary conditions and the approximation of the PDE inside the solution domain is separated.

    Article Title: Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple Algorithm
    Article Snippet: However, our implementation of Kmeans (MATLAB built-in function kmeans) has the disadvantage that different applications of the algorithm to the same data often give different results;3 cf. section 5.

    Article Title: Object recognition and localization from 3D point clouds by maximum-likelihood estimation
    Article Snippet: In a scene containing the CRT monitor with little background clutter , both SHOT and FPFH keypoint descriptors were calculated and grouped into 10 groups by the MATLAB kmeans algorithm[ ].

    Article Title: Adaptation in cone photoreceptors contributes to an unexpected insensitivity of primate On parasol retinal ganglion cells to spatial structure in natural images
    Article Snippet: Each individual response was projected along these three principal components, and the results were clustered using Matlab’s kmeans algorithm.

    Article Title: Random evolutionary dynamics in predator-prey systems yields large, clustered ecosystems.
    Article Snippet: For Matlab’s kmeans algorithm, however, it is not immediately clear how the different options influence the outcome.



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