A Threshold Based Multi-Label Classification

نویسندگان

  • Durga Prasad Muni
  • Bintu G. Vasudevan
  • Rajesh Balakrishnan
چکیده

In classification problems, a pattern may belong to one or multiple categories. It is essential to deal multi-label classification accurately and efficiently. Threshold strategies can be used for multi-label classification. We propose four schemes to compute threshold for a threshold based multi-label classification. We validate our method using multi-label text data and multi-label image data. Keywords-multi-label, threshold, classification, data mining

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تاریخ انتشار 2012