ABSTRACT: The visualization of high-dimensional data is a cornerstone of modern scientific inquiry, particularly in quantum physics, where complex non-linear interactions define system behavior. While ...

Patent-pending ensemble machine-learning pipeline predicting industrial pollution using four aquatic and demographic variables across 65 rivers (2015-2024).

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 ...

In order for refit and predict to work properly, dimensionality reduction must be included in the sklearn Pipeline. I am currently wrapping up input and output Pipelines (which represent the ...

Abstract: The purpose of this study is to research and explore the Data Dimension, and propose the data feature & selection of dimensionality reduction technique, in order to help users understand the ...