2 papers
stat.CO2026
Large Scale High-Dimensional Reduced-Rank Linear Discriminant Analysis
Jocelyn T. Chi
Reduced-rank linear discriminant analysis (RRLDA) is a foundational method of dimension reduction for classification that has been useful in a wide range of applications. The goal…
stat.CO2025
Linear Discriminant Analysis with the Randomized Kaczmarz Method
Jocelyn T. Chi, Deanna Needell
We present a randomized Kaczmarz method for linear discriminant analysis (rkLDA), an iterative randomized approach to binary-class Gaussian model linear discriminant analysis (LDA)…