GitHub

quadratic-discriminant-analysis.md

Quadratic Discriminant Analysis (QDA) is a dimensionality reduction algorithm used for classification tasks in supervised learning. QDA generates a quadratic decision boundary by fitting class ...
IEEE

The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis

Abstract: Fisher's linear discriminant analysis is a classical method for classification, yet it is limited to capturing linear features only. Kernel discriminant analysis as an extension is known to ...
GitHub

the-hitchhikers-guide-to-machine-learning-algorithms /chapters

Mixture Discriminant Analysis (MDA) is a powerful algorithm used in dimensionality reduction. MDA is an extension of linear and quadratic discriminant analysis, allowing for more complex class ...
IEEE

Incremental linear discriminant analysis for classification of data streams

Abstract: This paper presents a constructive method for deriving an updated discriminant eigenspace for classification when bursts of data that contains new classes is being added to an initial ...
Simon Fraser University

Example 25.3: Normal-Theory Discriminant Analysis of Iris Data

Example 25.3: Normal-Theory Discriminant Analysis of Iris Data In this example, PROC DISCRIM uses normal-theory methods to classify the iris data used in Example 25.1. The POOL=TEST option tests the ...
Frontiers

Review of Variable Selection Methods for Discriminant-Type Problems in Chemometrics

Department of Chemistry, Harynuk Research Group, the Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, Canada Discriminant-type analyses arise from the need to classify samples ...