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MathWorks Inc r2021a
R2021a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 390 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/k-means+clustering+algorithm+matlab/Parallel+Computing+Toolbox/pm35569851-98-15-17
Average 95 stars, based on 390 article reviews
r2021a - by Bioz Stars, 2026-11
95/100 stars

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Article Title: The geometry of pMHC‐coated nanoparticles and T‐cell receptor clusters governs the sensitivity‐specificity trade‐off in T‐cell response: a modeling investigation
Article Snippet: Trials were run in parallel by means of the Parallel Computing Toolbox available in MATLAB, using servers from Compute Canada.

Article Title: Deep computational photoacoustic mesoscopy through heterogeneous tissues enabled by scanning compensation and angular-spectrum enhancement
Article Snippet: The DWAS-SAFT was implemented in MATLAB 2021a (Parallel Computing Toolbox) on a workstation equipped with an AMD Ryzen 5600 G CPU and 64 GB RAM.

Article Title: A hybrid spiking convolutional neural framework with extreme learning machine for enhanced anomaly detection in network security.
Article Snippet: The Neural Network Toolbox, Signal Processing Toolbox, and Parallel Computing Toolbox were used in MATLAB R2023b to carry out each experiment.

Article Title: An Integrated Analysis of GLP-1R Agonist Mechanisms: Addressing Study Variations in Heterogeneous Cell Systems
Article Snippet: The parameter estimation was done with 16 parallel workers (MATLAB Parallel Computing Toolbox) with a stopping criteria defined with max stall iterations (700), and a function tolerance (10 -5 ).

Article Title: Diverse communities promote the coexistence of closely-related strains through emergent equalization and stabilization
Article Snippet: Correlation coefficients: The correlation between α and β strain abundances was computed both across all strain pairs and restricted to coexisting pairs, using the standard formula: Lastly, simulations were parallelized across asymmetry parameter values (i.e., λ ) using MATLAB’s Parallel Computing Toolbox (parfor), with each worker independently generating interaction matrices, integrating the dynamical system, and computing summary statistics for a given λ value.

Article Title: Protocol for identifying and comparing neuronal ensembles using different algorithms within a graphical user interface
Article Snippet: MATLAB Parallel Computing Toolbox , MathWorks , https://www.mathworks.com/products/parallel-computing.html.

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Article Title: Parameter Selection in Coupled Dynamical Systems for Tomographic Image Reconstruction.
Article Snippet: .. The objective function 1K ∑ K k=1 d(·) was evaluated in parallel for k = 1, 2, . . . , K using the parfor construct in MATLAB’s Parallel Computing Toolbox to accelerate computation. ..



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