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Dimension Reduction and Classification Using PCA, Factor Analysis and Discriminant Functions - A Short Overview

Tuesday, October 28: Often researchers are faced with data in very high dimensions (e.g. too many predictors for a regression model), or must come up with a rule to classify data in pre-determined ...
Nature

Diagnostic ability of a linear discriminant function for optic nerve head parameters measured with optical coherence tomography for perimetric glaucoma

To calculate and validate a linear discriminant function (LDF) for optical coherence tomography (OCT) to improve the diagnostic ability of isolated optic nerve head (ONH) parameters to discriminate ...
Nature

Application of linear discriminant analysis to the biochemical and haematological differentiation of opiate addicts from healthy subjects: a case–control study

Objective: Biochemical and haematological parameters of nutritional interest were determined in the serum of opiate addicts in order to compare them with those obtained in healthy subjects. Linear ...
Simon Fraser University

Example 25.3: Normal-Theory Discriminant Analysis of Iris Data

9.49362 Output 25.3.5:Tests of Equal Class Means Discriminant Analysis of Fisher (1936) Iris Data Using Quadratic Discriminant Function The DISCRIM Procedure Univariate Test Statistics F Statistics, ...
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Overview of solutions of a quadratic function and the discriminant

👉 Learn all about the discriminant of quadratic equations. A quadratic equation is an equation whose highest power on its variable(s) is 2. The discriminant of a quadratic equation is a formula which ...