MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification

Keigo Kimura; Lu Sun; Mineichi Kudo

MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification

Machine Learning 2017-04-11 v1

Authors: Keigo Kimura , Lu Sun , Mineichi Kudo

Abstract

Multi-Label Classification toolbox is a MATLAB/OCTAVE library for Multi-Label Classification (MLC). There exists a few Java libraries for MLC, but no MATLAB/OCTAVE library that covers various methods. This toolbox offers an environment for evaluation, comparison and visualization of the MLC results. One attraction of this toolbox is that it enables us to try many combinations of feature space dimension reduction, sample clustering, label space dimension reduction and ensemble, etc.

Cite

@article{arxiv.1704.02592,
  title  = {MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification},
  author = {Keigo Kimura and Lu Sun and Mineichi Kudo},
  journal= {arXiv preprint arXiv:1704.02592},
  year   = {2017}
}

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