getDerivedCoefficients: Derived Features of the UPLTM transform

In FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis

Derived Features of the UPLTM transform

Description

Returs the list latent features, and their corresponding coeficients, from the UPLTM transform

Usage

	getLatentCoefficients(decorrelatedobject)
    getObservedCoef(decorrelatedobject,latentModel)

Arguments

decorrelatedobject	The returned dataframe of the IDeA function
latentModel	A linear model with coefficients

Details

The UPLTM transformation extracted by the IDeA function is analyzed and a named list of latent features will be returned with their required formula used to compute the latent varible. Given a coeficient vector of latent variables. The getObservedCoef will return a vector of coefficients associated with the observed variables.

Value

The list of derived coefficients of each one of latent feature or vector of coefficients

Author(s)

Jose G. Tamez-Pena

See Also

IDeA

Examples

	# load FRESA.CAD library
#	library("FRESA.CAD")

# iris data set
	data('iris')


	#Decorrelating with usupervised basis and correlation goal set to 0.25
	system.time(irisDecor <- IDeA(iris,thr=0.25))
	print(getLatentCoefficients(irisDecor));

FRESA.CAD documentation built on Nov. 25, 2023, 1:07 a.m.