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bagged tree and subspace k-nn algorithms of matlab r2020b ensemble classifier  (MathWorks Inc)


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    MathWorks Inc bagged tree and subspace k-nn algorithms of matlab r2020b ensemble classifier
    Bagged Tree And Subspace K Nn Algorithms Of Matlab R2020b Ensemble Classifier, 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-nn+algorithm/10__1016_slash_j__bspc__2024__106491-89-10-10
    Average 90 stars, based on 1 article reviews
    bagged tree and subspace k-nn algorithms of matlab r2020b ensemble classifier - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Comparison:

    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: Estimation of soil erodability parameters based on different machine algorithms integrated with remote sensing techniques
    Article Snippet: Erosion causes significant damage to life and nature every year; therefore, controlling erosion is of great importance.. Therefore, maintaining the balance between soil, plants, and water plays a vital role in controlling erosion.. Aim of this study was to estimate some erodability parameters (structural stability index—SSI, aggregate stability—AS, and erosion ratio—ER) with indices and reflectance obtained via TripleSat satellite imagery using machine learning algorithms (support vector regression—SVR, artificial neural network—ANN, and K-nearest neighbors—KNN) in Samsun Province, Vezirköprü, Türkiye.

    Article Title: ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes.
    Article Snippet: To quantify the results of restitution analysis, we submitted the detected intervals to k-NN classifier algorithm fitcknn implemented in MATLAB (Mathworks, USA).

    Article Title: Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP’s in multichannel EEGs
    Article Snippet: The k-NN classifier algorithm is implemented on MATLAB platform.

    Article Title: ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes
    Article Snippet: To quantify the results of restitution analysis, we submitted the detected intervals to k -NN classifier algorithm fitcknn implemented in MATLAB (Mathworks, USA).

    Article Title: Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features.
    Article Snippet: Protein structural class prediction solely from protein sequences is a challenging problem in bioinformatics.. Numerous efficient methods have been proposed for protein structural class prediction, but challenges remain.. Using novel combined sequence information coupled with predicted secondary structural features (PSSF), we proposed a novel scheme to improve prediction of protein structural classes.

    Article Title: A Fast Exact k -Nearest Neighbors Algorithm for High Dimensional Search Using k -Means Clustering and Triangle Inequality
    Article Snippet: We used the k d-tree based algorithm implemented in MATLAB and the speedup was calculated by comparing the running time to the traditional k -NN algorithm implemented in MATLAB (labeled “exhaustive”).

    Selection:

    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: Estimation of soil erodability parameters based on different machine algorithms integrated with remote sensing techniques
    Article Snippet: Erosion causes significant damage to life and nature every year; therefore, controlling erosion is of great importance.. Therefore, maintaining the balance between soil, plants, and water plays a vital role in controlling erosion.. Aim of this study was to estimate some erodability parameters (structural stability index—SSI, aggregate stability—AS, and erosion ratio—ER) with indices and reflectance obtained via TripleSat satellite imagery using machine learning algorithms (support vector regression—SVR, artificial neural network—ANN, and K-nearest neighbors—KNN) in Samsun Province, Vezirköprü, Türkiye.

    Article Title: ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes.
    Article Snippet: To quantify the results of restitution analysis, we submitted the detected intervals to k-NN classifier algorithm fitcknn implemented in MATLAB (Mathworks, USA).

    Article Title: Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP’s in multichannel EEGs
    Article Snippet: The k-NN classifier algorithm is implemented on MATLAB platform.

    Article Title: ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes
    Article Snippet: To quantify the results of restitution analysis, we submitted the detected intervals to k -NN classifier algorithm fitcknn implemented in MATLAB (Mathworks, USA).

    Article Title: Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features.
    Article Snippet: Protein structural class prediction solely from protein sequences is a challenging problem in bioinformatics.. Numerous efficient methods have been proposed for protein structural class prediction, but challenges remain.. Using novel combined sequence information coupled with predicted secondary structural features (PSSF), we proposed a novel scheme to improve prediction of protein structural classes.

    Article Title: A Fast Exact k -Nearest Neighbors Algorithm for High Dimensional Search Using k -Means Clustering and Triangle Inequality
    Article Snippet: We used the k d-tree based algorithm implemented in MATLAB and the speedup was calculated by comparing the running time to the traditional k -NN algorithm implemented in MATLAB (labeled “exhaustive”).

    Extraction:

    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: Estimation of soil erodability parameters based on different machine algorithms integrated with remote sensing techniques
    Article Snippet: Erosion causes significant damage to life and nature every year; therefore, controlling erosion is of great importance.. Therefore, maintaining the balance between soil, plants, and water plays a vital role in controlling erosion.. Aim of this study was to estimate some erodability parameters (structural stability index—SSI, aggregate stability—AS, and erosion ratio—ER) with indices and reflectance obtained via TripleSat satellite imagery using machine learning algorithms (support vector regression—SVR, artificial neural network—ANN, and K-nearest neighbors—KNN) in Samsun Province, Vezirköprü, Türkiye.

    Article Title: ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes.
    Article Snippet: To quantify the results of restitution analysis, we submitted the detected intervals to k-NN classifier algorithm fitcknn implemented in MATLAB (Mathworks, USA).

    Article Title: Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP’s in multichannel EEGs
    Article Snippet: The k-NN classifier algorithm is implemented on MATLAB platform.

    Article Title: ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes
    Article Snippet: To quantify the results of restitution analysis, we submitted the detected intervals to k -NN classifier algorithm fitcknn implemented in MATLAB (Mathworks, USA).

    Article Title: Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features.
    Article Snippet: Protein structural class prediction solely from protein sequences is a challenging problem in bioinformatics.. Numerous efficient methods have been proposed for protein structural class prediction, but challenges remain.. Using novel combined sequence information coupled with predicted secondary structural features (PSSF), we proposed a novel scheme to improve prediction of protein structural classes.

    Article Title: A Fast Exact k -Nearest Neighbors Algorithm for High Dimensional Search Using k -Means Clustering and Triangle Inequality
    Article Snippet: We used the k d-tree based algorithm implemented in MATLAB and the speedup was calculated by comparing the running time to the traditional k -NN algorithm implemented in MATLAB (labeled “exhaustive”).



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