A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

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 ...

Wiley announces the release of KnowItAll 2026, featuring the new Trendfinder application that integrates chemometric analysis directly into the interface to uncover meaningful patterns in complex ...

This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not include a full text component.