An estimate for the loss of the classification power when a single variate is excluded from the linear discriminant function is given. A criterion is proposed for the omission of a variate without an ...

LDA is based on the extraction of linear discriminant functions of the independent variables by means of a qualitative dependent variable and several quantitative independent variables.

An additional motivation comes from the field of discriminant analysis, where it is hoped that dimensionality can be reduced and the transformed data will be amenable to the use of a simple linear ...

Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation. Given a classification variable and several interval variables, ...

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 ...