Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples

<p dir="ltr">Confussion matrices from 3 studies where different classification algorithms were employed including PLS-DA, K-NN, SVM, SIMCA and ANN. Studies used raw fiber, yarn and fabric samples.<br>Also, a detailed description of five classification models for Near Infrared S...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: José Amorena (19813284) (author)
منشور في: 2024
الموضوعات:
الوسوم: إضافة وسم
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الوصف
الملخص:<p dir="ltr">Confussion matrices from 3 studies where different classification algorithms were employed including PLS-DA, K-NN, SVM, SIMCA and ANN. Studies used raw fiber, yarn and fabric samples.<br>Also, a detailed description of five classification models for Near Infrared Spectroscopy is presented in Word format. Algorithms described are:<br>-Partial Least Squares Discriminant Analysis (PLS-DA)<br>-K-Nearest Neighbours (K-NN)<br>-Smooth Independent Modeling with Class Analogy (SIMCA)</p><p dir="ltr">-Support Vector Machine (SVM)<br>-Artificial Neural Networks (ANN)</p>