Discriminant analysis (DA) encompasses procedures for classifying observations into groups (i.e., predictive discriminative analysis) and describing the relative importance of variables for ...

Using personal information and income range data from the 1994 US Census database, applied naive Bayes classifier and linear discriminant analysis classifier to classify personal income ranges.

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 ...

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 ...

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 ...

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 ...

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 ...