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  • Modelling Large-scale Datasets Using Principal Component Analysis 

    ALAKKARI, SALAHEDDIN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
    Principal Component Analysis (PCA) is one of the most well-known unsupervised learning techniques used for dimensionality reduction and feature extraction. The main task of PCA is to compute a low-dimensional space that ...