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

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)-Support Vector Machine (SVM)<br>-Artificial Neural Networks (ANN)