Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
central tendencies and dispersion of variables concerning their mean, quantified as covariance — representing the degree of deviation from the mean. By constructing a covariance matrix, we seek to identify the most informative directions in the data. These directions are characterised by the