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Unsupervised learning - Wikipedia
Web10 apr. 2024 · In this research, a near-infrared spectroscopy approach along with statistical methods of principal component analysis (PCA), partial-least-squares regression (PLSR), latent dirichlet allocation (LDA), and artificial neural network (ANN) as a fast and non-destructive method was used with to detect and classify coffee beans using reference … Web20 mei 2008 · Experimental results demonstrated the effectiveness of the proposed method for face recognition with less misclassification in comparison with previous methods. In this paper, a new face recognition method based on PCA (principal Component Analysis), LDA (Linear Discriminant Analysis) and neural networks is proposed. This method consists … fan boat build
Linear Discriminant Analysis (LDA) Machine Learning
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