consensus,NMFfitX1-method

The result is the matrix stored in slot
 &#8216;consensus&#8217;. This method returns <code>NULL</code> if
 the consensus matrix is empty.

methods

Provides a framework to perform Non-negative Matrix
Factorization (NMF). The package implements a set of already published algorithms
and seeding methods, and provides a framework to test, develop and plug
new/custom algorithms. Most of the built-in algorithms have been optimized
in C++, and the main interface function provides an easy way of performing
parallel computations on multicore machines.

Nicolas Sauwen

Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)

Renaud Gaujoux

Cathal Seoighe

consensus,NMFfitX1-method function

<dl> <dt>object</dt>
<dd>an object with a suitable
 <code><a href="/link/predict?package=NMF&version=0.28" data-mini-rdoc="NMF::predict">predict</a></code> method.</dd>
 <dt>no.attrib</dt>
<dd>a logical that indicates if attributes
 containing information about the NMF model should be
 attached to the result (<code>TRUE</code>) or not
 (<code>FALSE</code>).</dd></dl>

Arguments

Returns the consensus matrix computed while performing all NMF runs,
amongst which object was selected as the best fit. — consensus,NMFfitX1-method

<dl>

 <dt>object</dt>
<dd>an object with a suitable
 <code><a href='https://rdrr.io/r/stats/predict.html'>predict</a></code> method.</dd>


 <dt>no.attrib</dt>
<dd>a logical that indicates if attributes
 containing information about the NMF model should be
 attached to the result (<code>TRUE</code>) or not
 (<code>FALSE</code>).</dd>

</dl>

consensus,NMFfitX1-method: Returns the consensus matrix computed while performing all NMF runs, amongst which `object` was selected as the best fit.

Description

Usage

Arguments