basis_olda: The basis of Orthogonal Linear Discriminant Analysis (OLDA)

In spinifex: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data

The basis of Orthogonal Linear Discriminant Analysis (OLDA)

Description

Orthogonal LDA (OLDA) is an extension of classical LDA where the discriminant vectors are orthogonal to each other.

Usage

basis_olda(data, class, d = 2)

Arguments

data	Numeric matrix or data.frame of the observations, coerced to matrix.
class	The class for each observation, coerced to a factor.
d	Number of dimensions in the projection space.

Value

A numeric matrix, an orthogonal basis that best distinguishes the group means of class.

References

Ye J (2005). "Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems." J. Mach. Learn. Res., 6, 483-502. ISSN 1532-4435.

See Also

Rdimtools::do.olda

Other basis producing functions: basis_guided(), basis_half_circle(), basis_odp(), basis_onpp(), basis_pca()

Examples

dat  <- scale_sd(wine[, 2:6])
clas <- wine$Type
basis_olda(data = dat, class = clas)

spinifex documentation built on May 29, 2024, 1:23 a.m.