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k-nearest neighbors (knn) algorithm in matlab r2022a software  (MathWorks Inc)


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    MathWorks Inc k-nearest neighbors (knn) algorithm in matlab r2022a software
    K Nearest Neighbors (Knn) Algorithm In Matlab R2022a Software, 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-nearest-neighbor+algorithm/pmc11742047-228-11-11
    Average 90 stars, based on 1 article reviews
    k-nearest neighbors (knn) algorithm in matlab r2022a software - by Bioz Stars, 2026-10
    90/100 stars

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    Software:

    Article Title: Automatic Identification of Upper Extremity Rehabilitation Exercise Type and Dose Using Body-Worn Sensors and Machine Learning: A Pilot Study
    Article Snippet: Once all data sets were synchronized, labelled, filtered, and normalized, the Fine k nearest neighbor ( k- NN) classification algorithm provided by MATLAB was used to classify the data using a leave-one-out cross validation method.

    Article Title: Transdiagnostic Brain Mapping in Developmental Disorders
    Article Snippet: Missing data were imputed using the K nearest-neighbor algorithm in MATLAB 2015a (MATLAB 2015a, The MathWorks, Natick, 2015), using the weighted average of the 20 nearest neighbors.

    Article Title: Remodeling of cholinergic input to the hippocampus after noise exposure and tinnitus induction in guinea pigs
    Article Snippet: Green pixels were identified using a custom-written k-nearest-neighbor classifier algorithm (Mathworks MATLAB knnsearch ) ( Altman, 1992 ; Friedman, 1977 ).

    Article Title: Transdiagnostic Brain Mapping in Developmental Disorders
    Article Snippet: K nearest-neighbor algorithm , MATLAB 2015a , Knnimpute function.

    Article Title: Noise Exposure Alters Glutamatergic and GABAergic Synaptic Connectivity in the Hippocampus and Its Relevance to Tinnitus
    Article Snippet: Green pixels were identified using a custom-written k -nearest neighbor classifier algorithm (Mathworks MATLAB).

    Article Title: Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements
    Article Snippet: We integrated the k-nearest neighbor algorithm, provided by MATLAB R2014a in BioPatRec.

    Article Title: Endoscopic Image-based Radiomics Classifiers for the Prediction of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer Patients
    Article Snippet: Using the extracted texture features, we developed radiomics classi ers by applying 12 different machine learning models in the Statistics and Machine Learning toolbox of MATLAB: the linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), linear support vector machine (SVM), cubic SVM, Gaussian SVM, quadratic SVM, k-nearest neighbor algorithm (KNN), cubic KNN, cosine KNN, weighted KNN, logistic regression model, and decision trees.

    Article Title: Optical simulation study on the spatial resolution of a thick monolithic PET detector.
    Article Snippet: The intrinsic spatial resolution of clinical positron emission tomography (PET) detectors is ~ 3 4 mm.. A further improvement of the resolution using pixelated detectors will not only result in a prohibitive cost, but is also inevitably accompanied by a strong degradation of important performance parameters like timing, energy resolution and sensitivity.. Therefore, it is likely that future generation high resolution PET detectors will be based on continuous monolithic scintillation detectors.



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