Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Abstract: Training deep neural networks (DNNs) with large-scale datasets poses considerable challenges due to the computational complexity stemming from the vast number of samples and high-dimensional ...
Abstract: Exploring Dimensionality discount strategies for Analytical Processing (OLAP) is an area of research that makes a specialty of the use of diverse techniques to reduce the variety of ...