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knn algorithm  (MathWorks Inc)


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    MathWorks Inc knn algorithm
    Knn 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/knn+algorithm/pm39140177-99-1-6
    Average 90 stars, based on 1 article reviews
    knn algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: SkinLiTE: Lightweight Supervised Contrastive Learning Model for Enhanced Skin Lesion Detection and Disease Typification in Dermoscopic Images.
    Article Snippet: This study introduces SkinLiTE, a lightweight supervised contrastive learning model tailored to enhance the detection and typification of skin lesions in dermoscopic images.. The core of SkinLiTE lies in its unique integration of supervised and contrastive learning approaches, which leverages labeled data to learn generalizable representations.. This approach is particularly adept at handling the challenge of complexities and imbalances inherent in skin lesion datasets.

    Article Title: Biomimetic bimodal haptic perception using triboelectric effect
    Article Snippet: Machine learning was achieved using the KNN algorithm by MATLAB on the computer.

    Article Title: Discrimination of Microplastics and Phytoplankton Using Impedance Cytometry.
    Article Snippet: The KNN algorithm was written in MATLAB using the standard “fitknn” function with a standardized Euclidean distance metric, no weighting, exhaustive search method, and default cost matrix.

    Article Title: iDPPIV-SI: identifying dipeptidyl peptidase IV inhibitory peptides by using multiple sequence information.
    Article Snippet: Currently, diabetes has become a great threaten for people’s health in the world.. Recent study shows that dipeptidyl peptidase IV (DPP-IV) inhibitory peptides may be a potential pharmaceutical agent to treat diabetes.. Thus, there is a need to discriminate DPP-IV inhibitory peptides from non-DPP-IV inhibitory peptides.

    Article Title: Computational intelligence applied to the least limiting water range to estimate soil water content using GIS and geostatistical approaches in alluvial lands *
    Article Snippet: Correspondence Pelin Alaboz, Isparta University of Applied Sciences, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Isparta, Turkey.. Email: pelinalaboz@isparta.edu.tr Abstract The use of machine learning methods in pedotransfer functions has attracted considerable attention in recent years.. These methods are fast and effective in solving complex events.

    Article Title: Ankle Angle Prediction Using a Footwear Pressure Sensor and a Machine Learning Technique
    Article Snippet: In our dataset, a 6-input data sheet containing all sensors was inserted in the kNN algorithm and the optimal 10 values were chosen using MATLAB.

    Article Title: m7G-DPP: Identifying N7-methylguanosine sites based on dinucleotide physicochemical properties of RNA.
    Article Snippet: N7-methylguanosine (m7G) modification is one of the most common post-transcriptional RNA modifications, which play vital role in the regulation of gene expression.. Dysfunction of m7G may result to developmental defects and the appearance of some serious diseases.. Thus, it is an urgent task to fast and accurate identifying m7G sites.



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