adjacency_knn

<p>character; distance metric used in the <code>dist</code> function</p>

distance

<p>Calculates symmetric adjacency: objects are neighbours is either one of them is in the set of nearest neighbours of the other.</p>

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

adjacency_knn: Calculate knn adjacency matrix

Description

Usage

Arguments

Value