minimaxlda: Implements weighted likelihood estimation for LDA
In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification

minimaxlda

R Documentation

Implements weighted likelihood estimation for LDA

Description

Implements weighted likelihood estimation for LDA

Usage

minimaxlda(a, w, u, iter)

Arguments

`a`	is the data set
`w`	is an indicator matrix for the K classes of a or, potentially, a weight matrix in which the fraction with which a sample belongs to a particular class is indicated
`u`	is a bunch of unlabeled data
`iter`	decides on the amount of time we spend on minimaxing the stuff

Value

m contains the means, p contains the class priors, iW contains the INVERTED within covariance matrix, uw returns the weights for the unlabeled data, i returns the number of iterations used

RSSL documentation built on May 29, 2024, 2:38 a.m.