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fuzzy c-means clustering function fcm  (MathWorks Inc)


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    MathWorks Inc fuzzy c-means clustering function fcm
    Fuzzy C Means Clustering Function Fcm, 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/result/fuzzy c-means clustering function fcm/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    fuzzy c-means clustering function fcm - by Bioz Stars, 2026-04
    90/100 stars

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    Results from the physicochemical property investigation and fitness matrix construction processes. a Results of the initial fitness matrix M 1 generated by PLSR and its derived final fitness matrix M 3 . b The Pearson correlation coefficient measurement indicates that the MICs and physicochemical properties are not simply linear. c and d <t>FCM</t> images indicating that LBD 1-8 were the largest clusters created with hydrophobicity ranging from 0.5 to 0.7, a net charge of 2 to 7, and <t>an</t> <t>isoelectric</t> point of 10 to 12.
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    Results from the physicochemical property investigation and fitness matrix construction processes. a Results of the initial fitness matrix M 1 generated by PLSR and its derived final fitness matrix M 3 . b The Pearson correlation coefficient measurement indicates that the MICs and physicochemical properties are not simply linear. c and d FCM images indicating that LBD 1-8 were the largest clusters created with hydrophobicity ranging from 0.5 to 0.7, a net charge of 2 to 7, and an isoelectric point of 10 to 12.

    Journal: Journal of Advanced Research

    Article Title: Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides

    doi: 10.1016/j.jare.2024.02.016

    Figure Lengend Snippet: Results from the physicochemical property investigation and fitness matrix construction processes. a Results of the initial fitness matrix M 1 generated by PLSR and its derived final fitness matrix M 3 . b The Pearson correlation coefficient measurement indicates that the MICs and physicochemical properties are not simply linear. c and d FCM images indicating that LBD 1-8 were the largest clusters created with hydrophobicity ranging from 0.5 to 0.7, a net charge of 2 to 7, and an isoelectric point of 10 to 12.

    Article Snippet: The MIC, net charge, hydrophobicity and isoelectric point of LBD 1-10 were clustered using FCM embedded in the FCM() function in MATLAB R2021b.

    Techniques: Generated, Derivative Assay