getNN

Auxiliary function used to compute the neighbors of an instance

Collection of the state of the art multi-label resampling algorithms. The objective of these algorithms is to achieve balance in multi-label datasets.

Miguel Ángel Dávila

mldr.resampling

Resampling Algorithms for Multi-Label Datasets

Francisco Charte

María José Del Jesus

Antonio Rivera

getNN function

<dl><dt>sample</dt>
<dd>Index of the sample whose neighbors we want to know</dd>
<dt>rest</dt>
<dd>Indexes of the samples among which we will search</dd>
<dt>label</dt>
<dd>Label that must be active, in order to calculate the distances</dd>
<dt>D</dt>
<dd>mld <code>mldr</code> object with the multilabel dataset to preprocess</dd>
<dt>tableVDM</dt>
<dd>Dataframe object containing previous calculations for faster processing. If it is empty, the algorithm will be slower</dd></dl>

Arguments

Auxiliary function used to compute the neighbors of an instance — getNN

<dl>

<dt>sample</dt>
<dd>Index of the sample whose neighbors we want to know</dd>


<dt>rest</dt>
<dd>Indexes of the samples among which we will search</dd>


<dt>label</dt>
<dd>Label that must be active, in order to calculate the distances</dd>


<dt>D</dt>
<dd>mld <code>mldr</code> object with the multilabel dataset to preprocess</dd>


<dt>tableVDM</dt>
<dd>Dataframe object containing previous calculations for faster processing. If it is empty, the algorithm will be slower</dd>

</dl>

getNN: Auxiliary function used to compute the neighbors of an instance

Description

Usage

Value

Arguments