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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/k-means+algorithm/pm40533043-106-22-11
    Average 90 stars, based on 1 article reviews
    non-hierarchical k-means clustering algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Research On the Classification Patterns of High-Potassium Glass and Lead-Barium Glass Based On K-Means Clustering Analysis
    Article Snippet: The well-crafted script of the k-means algorithm was executed after importing the data into MATLAB.

    Article Title: Comprehensive analysis of total knee arthroplasty kinematics and functional recovery: Exploring full-body gait deviations in patients with knee osteoarthritis.
    Article Snippet: The classification was performed with the K-means algorithm in Matlab (R2021a, The MathWorks, Inc., Natick, Massachusetts, United States) with the Squared Euclidean distance as a criterion and 30 replicates of unsupervised K-means++ initialization to ensure the convergence of the method.

    Article Title: Beyond clinical scales: an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease
    Article Snippet: To determine the optimal number of clusters, we performed clustering using the k-means algorithm (MATLAB function kmeans).

    Article Title: Potassium dependent structural changes in the selectivity filter of HERG potassium channels
    Article Snippet: Cluster analysis was performed with k-means algorithm in MATLAB using k = 10 clusters and clustering on the backbone Φ and Ψ angles of the selectivity filter (residue 624 to 628).

    Article Title: Magnetically reshapable 3D multi-electrode arrays of liquid metals for electrophysiological analysis of brain organoids.
    Article Snippet: These vectors were then clustered into pre-specified number of groups, using the k-means algorithm (MATLAB function kmeans).

    Article Title: Clustering Students Level of Understanding of Programming Language Courses Using the K-Means Algorithm
    Article Snippet: This study aims to categorize students based on their level of understanding of programming language courses using the K-Means algorithm.. Students often experience difficulties in understanding the basic concepts of programming languages, which can affect their ability to solve programming problems.. Using data obtained from questionnaires filled out by STMIK Kaputama Binjai students, this study analyzed variables such as attendance rate, learning interest, and level of understanding.

    Article Title: Loading rate, geometry, and damage state influence vertical extraction biomechanics in an ex vivo swine dental model
    Article Snippet: Instantaneous stiffness curves were input to a K-means algorithm in MATLAB ( ) to identify clusters in the stiffness data based on stiffness magnitude and curve shape.



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