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non-hierarchical k-means clustering algorithm  (MathWorks Inc)


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    MathWorks Inc non-hierarchical k-means clustering algorithm
    Non Hierarchical K Means 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/non-hierarchical+k-means+clustering+algorithm/pm40533043-106-22-11
    Average 90 stars, based on 1 article reviews
    non-hierarchical k-means clustering algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Survey of transfemoral amputee experience and priorities for the user-centered design of powered robotic transfemoral prostheses.
    Article Snippet: Data were then reverse-transformed back into the original n-dimensional space, and clustering was then performed on transformed data using a non-hierarchical K-Means clustering algorithm (executed in MATLAB) for K = 3 clusters, with 100 random initializations per instance (k) and iteration run until convergence.

    Article Title: Monsoon-Driven DOM Dynamics Revealed by Self-Organizing Map and End-Member Mixing Analysis: Spatial Partitioning of Autochthonous and Anthropogenic Sources in Plain River Networks.
    Article Snippet: Monsoon influences induce dynamic variations in the composition of dissolved organic matter (DOM) sources in river systems.. Quantitative assessments of autochthonous versus allochthonous (natural versus anthropogenic) DOM contributions before and after monsoon seasons remain insufficient for complex urban-rural plain river networks.. This study developed a novel approach by combining leave-one-out cross-validation information criterion (LOOIC) screened optimal dual-spectral-tracer end-member mixing analysis (EMMA) model with selforganizing map (SOM) modeling to resolve spatial and monsoon-induced variations of DOM sources in complex watersheds.



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    MathWorks Inc non-hierarchical k-means clustering algorithm
    Non Hierarchical K Means 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/non-hierarchical+k-means+clustering+algorithm/pm40533043-106-22-11
    Average 90 stars, based on 1 article reviews
    non-hierarchical k-means clustering algorithm - by Bioz Stars, 2026-09
    90/100 stars
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