This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...

Dimensionality reduction compresses thousands of gene expression measurements into a two-dimensional plot a person can actually read, and uniform manifold approximation and projection (UMAP) has ...

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...