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fitcdiscr function  (MathWorks Inc)


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    MathWorks Inc fitcdiscr function
    Fitcdiscr Function, 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/fitcdiscr/pmc12267541-99-6-10
    Average 90 stars, based on 1 article reviews
    fitcdiscr function - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: SUnSeT : s pectral un mixing of hyperspectral images for phenotyping soybean se ed t raits
    Article Snippet: Importance of the predictors for classification was obtained by running MATLAB’s built-in-function, fitcdiscr , that yields the DeltaPredictor property.

    Article Title: Process and system for propagating cell cultures while preventing lactate accumulation
    Article Snippet: Each individual model was computed from the batch-unfolded process data present in the training data set using functions (fitcdiscr, fitctree, plsregress, fitcsvm, fitglm) from the Matlab statistics and machine learning toolbox (R2016b).

    Article Title: Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate.
    Article Snippet: We used MATLAB’s fitcdiscr, fitcsvm, and fitcknn functions to train the LDA, SVM, and KNN classifiers, respectively.

    Article Title: Coding odor modality in piriform cortex efficiently with low-dimensional subspaces: a Shared Covariance Decoding approach
    Article Snippet: This is implemented in MATLAB with the functions fitcdiscr and kfoldPredict with 10-fold cross-validation.

    Article Title: Optimal classification and generalized prevalence estimates for diagnostic settings with more than two classes.
    Article Snippet: We perform LDA and QDA using fitcdiscr and predict in MATLAB with default options (MathWorks, Natick, MA, USA).

    Article Title: Proposal of a New System for Essential Oil Classification Based on Low-Cost Gas Sensor and Machine Learning Techniques.
    Article Snippet: The selected functions on Matlab for this classification included fitcdiscr, fitcnb, fitcecoc, fitcknn, and fitcnet.

    Article Title: Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot study
    Article Snippet: The fitcdiscr function in the Statistical and Machine Learning Toolbox of MATLAB was used for classification.

    Plasmid Preparation:

    Article Title: Informatic application to characterise and identify small mammal species: Arvicolinae (Cricetidae, Rodentia, Mammalia)
    Article Snippet: .. These canonical variables q let to address the problem of the classification of the samples by three successive phases: The measurements of the original variables are projected for the different varieties in the space determined by the q canonical variables The vector of the semi‐perimeter coordinates of the individual or specimens to be classified is projected into the same canonical variable space The function classifies the specimens in which species between the N would be more similar, using the Mahalanobis distance in the space of the canonical variables The Fisher discriminant analysis is executed using the algorithms ‘ fitcdiscr ’ and ‘ predict ’ in Matlab. ..



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