IEEE

CBMAP: Clustering-Based Manifold Approximation and Projection for Dimensionality Reduction

Abstract: Dimensionality reduction methods are employed to decrease data dimensionality, either to enhance machine learning performance or to facilitate data visualization in two or three-dimensional ...
ahajournals.org

Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree‐Based Dimensionality Reduction

Abnormal ventricular depolarization, evident as a broad QRS complex on an ECG, is traditionally categorized into left bundle‐branch block (LBBB) and right bundle‐branch block or nonspecific ...
GitHub

Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation - Official Repository

McKell Woodland, Nihil Patel, Austin Castelo, Mais Al Taie, Mohamed Eltaher, Joshua P. Yung, Tucker J. Netherton, Tiffany L. Calderone, Jessica I. Sanchez, Darrel W ...
Forbes

AI In Design: Dimension Reduction And Emotional Connection

Design is an iterative process of creating a structure and telling a story. The structure provides utility, while the story fosters connection. Although the design process is dynamic, I often find ...