Projection methods are mathematical techniques used to reduce the dimensionality of data by mapping it onto a lower-dimensional subspace, preserving essential features while discarding noise and redundancy. These methods are crucial in areas such as data visualization, machine learning, and numerical optimization, where they enhance computational efficiency and improve interpretability of complex datasets.