getAllNeighbors2

Auxiliary function used by MLeNN and MLTL. Gets the kNN of every instance in a dataset, when compared to some of the rest

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

getAllNeighbors2 function

<dl><dt>neighbors</dt>
<dd>Structure with all the neighbors in the dataset, regardless of which ones to be compared</dd>
<dt>d</dt>
<dd>Vector with the instances of the dataset which are going to be compared</dd>
<dt>k</dt>
<dd>Number of neighbors to be retrieved</dd></dl>

Arguments

Auxiliary function used by MLeNN and MLTL. Gets the kNN of every instance in a dataset, when compared to some of the rest — getAllNeighbors2

<dl>

<dt>neighbors</dt>
<dd>Structure with all the neighbors in the dataset, regardless of which ones to be compared</dd>


<dt>d</dt>
<dd>Vector with the instances of the dataset which are going to be compared</dd>


<dt>k</dt>
<dd>Number of neighbors to be retrieved</dd>

</dl>

getAllNeighbors2: Auxiliary function used by MLeNN and MLTL. Gets the kNN of every instance in a dataset, when compared to some of the rest

Description

Usage

Value

Arguments