A Scalable Clustering-Based Local Multi-Label Classification Method

@inproceedings{Sun2016ASC,
  title={A Scalable Clustering-Based Local Multi-Label Classification Method},
  author={Lu Sun and Mineichi Kudo and Keigo Kimura},
  booktitle={ECAI},
  year={2016}
}
Multi-label classification aims to assign multiple labels to a single test instance. Recently, more and more multi-label classification applications arise as large-scale problems, where the numbers of instances, features and labels are either or all large. To tackle such problems, in this paper we develop a clustering-based local multi-label classification method, attempting to reduce the problem size in instances, features and labels. Our method consists of lowdimensional data clustering and… CONTINUE READING
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