makelabelmatrix

Convert class indicator into a label maxtrix.

The algorithm of semi-supervised learning is based on finite Gaussian mixture models and includes a mechanism for handling missing data. It aims to fit a g-class Gaussian mixture model using maximum likelihood. The algorithm treats the labels of unclassified features as missing data, building on the framework introduced by Rubin (1976) <doi:10.2307/2335739> for missing data analysis. By taking into account the dependencies in the missing pattern, the algorithm provides more information for determining the optimal classifier, as specified by Bayes' rule.

Ziyang Lyu

gmmsslm

Semi-Supervised Gaussian Mixture Model with a Missing-Data
Mechanism

Ziyang Lyu 

Daniel Ahfock 

Ryan Thompson 

Geoffrey J. McLachlan 

makelabelmatrix function

<dl><dt>clust</dt>
<dd>An n-dimensional vector of class partition.</dd></dl>

Arguments

Label matrix — makelabelmatrix

<dl>

<dt>clust</dt>
<dd>An n-dimensional vector of class partition.</dd>

</dl>

makelabelmatrix: Label matrix

Description

Usage

Value

Arguments

Examples