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kmeans clustering algorithm  (MathWorks Inc)


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    MathWorks Inc kmeans clustering algorithm
    Kmeans Clustering 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+clustering+algorithm/pm39855053-92-36-36
    Average 90 stars, based on 1 article reviews
    kmeans clustering algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Real-time shape approximation and fingerprinting of single proteins using a nanopore.
    Article Snippet: The kmeans clustering algorithm in MATLAB classified single events as corresponding to a single G6PDH (red points) or to the G6PDH–IgG complex (grey points) (see Supplementary Note 8 and Supplementary Fig. 22).

    Article Title: Trajectories of intrinsic connectivity one year post pediatric mild traumatic brain injury: Neural injury superimposed on neurodevelopment.
    Article Snippet: The developing brain undergoes rapid changes throughout middle childhood and adolescence.. The disambiguation of long-term changes in intrinsic activity following pediatric mild traumatic brain injury (pmTBI) from typical development can therefore only be ascertained in longitudinal studies with large sample size and at least three serial assessments.. A comprehensive clinical battery and resting-state fMRI data were collected approximately 1-week (N 1⁄4 263; 8-18 years old), 4-months (N 1⁄4 192) and 1-year (N 1⁄4 153) post-injury, with identical visits in a large cohort (N 1⁄4 228) of ageand sex-matched healthy controls (HC).

    Article Title: Characterization of Sea Surface Microlayer and Marine Aerosol Organic Composition Using STXM-NEXAFS Microscopy and FTIR Spectroscopy
    Article Snippet: The 122 particles were then clustered into eight categories using the MATLAB kmeans clustering algorithm.

    Article Title: Unmasking selective path integration deficits in Alzheimer’s disease risk carriers
    Article Snippet: We therefore split the APOE sample into a “younger” subsample ( n = 163; mean age ± SD, 24.32 ± 4.87) and an “older” subsample ( n = 104; mean age ± SD, 58.71 ± 7.75) in a data-driven manner using MATLAB’s kmeans clustering algorithm.

    Article Title: Cellular Noise Suppression by the Regulator of G Protein Signaling Sst2
    Article Snippet: For each model the 50 simulations were grouped using the MATLAB kmeans clustering algorithm with the “distance” option set to “correlation”.

    Article Title: Unmasking selective path integration deficits in Alzheimer’s disease risk carriers
    Article Snippet: In detail, we split the sample into two age groups in a data-driven way using MATLAB’s kmeans clustering algorithm.

    Article Title: Modification of supervised OPF-based intrusion detection systems using unsupervised learning and social network concept
    Article Snippet: Optimum-path forest (OPF) is a graph-based machine learning method that can overcome some limitations of the traditional machine learning algorithms that have been used in intrusion detection systems.. This paper presents a novel approach for intrusion detection using a modified OPF (MOPF) algorithm for improving the performance of traditional OPF in terms of detection rate (DR), false alarm rate (FAR), and time of execution.. To address the problem of scalability in large datasets and also for achieving high attack recognition rates, the proposed framework employs the k-means clustering algorithm, as a partitioning module, for generating different homogeneous training subsets from original heterogeneous training samples.

    Comparison:

    Article Title: Perceptual qualities and material classes.
    Article Snippet: .. For comparison, we also plot the output of a kmeans clustering algorithm (MATLAB function kmeans with 10 replications and the initial conditions specified by a preclustering), which was set to identify 10 clusters based on the spatial distribution of the samples in the full 9-D PCA space (Figure 11). ..



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