Deep Learning with Yacine on MSN

Visualizing High-Dimensional Data Using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
IEEE

Principal Component Regression for Small-Sample Microwave-Microfluidic Chemometrics Without De-Embedding

Abstract: Broadband dielectric spectroscopy allows for label-free analysis of biological material. However, the data can be challenging to interpret. In this work, Principal Component Regression (PCR) ...
IEEE

Non-Decreasing Concave Regularized Minimization for Principal Component Analysis

Abstract: As a widely used method in signal processing, Principal Component Analysis (PCA) performs both the compression and the recovery of high dimensional data by leveraging the linear ...