projection_simplex

Where \(Dn = \{ 0 &lt;= x &lt;= 1, sum(x) = 1\}\). 
R translation of Loog's version of Xiaojing Ye's initial implementation.
The algorithm works row-wise.

A collection of implementations of semi-supervised classifiers
and methods to evaluate their performance. The package includes implementations
of, among others, Implicitly Constrained Learning, Moment Constrained Learning,
the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic
Likelihood estimation, S4VM and WellSVM.

Jesse Krijthe

RSSL

Implementations of Semi-Supervised Learning Approaches for
Classification

projection_simplex function

<dl><dt>y</dt>
<dd>matrix with vectors to be projected onto the simplex</dd></dl>

Arguments

Project an n-dim vector y to the simplex Dn — projection_simplex

<dl>

<dt>y</dt>
<dd>matrix with vectors to be projected onto the simplex</dd>

</dl>

projection_simplex: Project an n-dim vector y to the simplex Dn

Description

Usage

Value

Arguments

References