Mathematics, Artificial Intelligence, Machine Learning, Deep Learning, AI.
their application. Randomized techniques in dimensionality reduction specifically help in dealing with high-dimensional data by reducing its volume while trying to preserve important traits such as distances or data variances. Thus, the primary distinction lies in how randomness is utilized: