MLTL | R Documentation |

This function implements the MLTL algorithm. It is a preprocessing algorithm for imbalanced multilabel datasets, whose aim is to identify tomek links (majoritary instances with a very different neighbor), and remove them. It's like MLeNN, with the number of neighbors being 1.

```
MLTL(D, TH, neighbors = NULL, tableVDM = NULL)
```

`D` |
mld |

`TH` |
threshold for the Hamming Distance in order to consider an instance different to another one. |

`neighbors` |
Structure with instances and neighbors. If it is empty, it will be calculated by the function |

`tableVDM` |
Dataframe object containing previous calculations for faster processing. If it is empty, the algorithm will be slower |

An mldr object containing the preprocessed multilabel dataset

Pereira, R. M., Costa, Y. M., & Silla Jr, C. N. (2020). MLTL: A multi-label approach for the Tomek Link undersampling algorithm. Neurocomputing, 383, 95-105.

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