wlda: Implements weighted likelihood estimation for LDA

In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification

Implements weighted likelihood estimation for LDA

Description

Implements weighted likelihood estimation for LDA

Usage

wlda(a, w)

Arguments

a	is the data set
w	is an indicator matrix for the K classes or, potentially, a weight matrix in which the fraction with which a sample belongs to a particular class is indicated

Value

m contains the means, p contains the class priors, iW contains the INVERTED within covariance matrix

RSSL documentation built on March 31, 2023, 7:27 p.m.