aggregate.measure

Given a numerical vector, this function computes an aggregated value using one of the following methods:
best or mean

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

aggregate.measure function

<dl><dt>x</dt>
<dd>a numerical vector</dd>
<dt>method</dt>
<dd>the method to aggregate values. This argument can take two values :
- mean: the mean of the measures
- best: the best measure according to the specified sorting order (decreasing or not)</dd>
<dt>decreasing</dt>
<dd>logical that specified the sorting order</dd>
<dt>...</dt>
<dd>extra arguments to allow extension</dd></dl>

Arguments

Utility function to aggregate numerical quality measures from NMFfitXn objects. — aggregate.measure

<dl>

<dt>x</dt>
<dd>a numerical vector</dd>


<dt>method</dt>
<dd>the method to aggregate values. This argument can take two values :
- mean: the mean of the measures
- best: the best measure according to the specified sorting order (decreasing or not)</dd>


<dt>decreasing</dt>
<dd>logical that specified the sorting order</dd>


<dt>...</dt>
<dd>extra arguments to allow extension</dd>

</dl>

aggregate.measure: Utility function to aggregate numerical quality measures from `NMFfitXn` objects.

Description

Usage

Arguments