eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
IEEE

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

Abstract: Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the ...
IEEE

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics

Abstract: As an efficient feature engineering tool, principal component analysis (PCA) has been widely used for feature extraction in the past decades. While a deep form of PCA has been developed for ...
GitHub

jaskaransbagga/yield-curve-pca

This project analyzes the U.S. Treasury yield curve using PCA to decompose yield changes into interpretable factors. The first three principal components typically explain 95-99% of yield curve ...