A Review of Multi-Label Classification Methods

Abstract

Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper intro-duces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative ex-perimental results of certain multi-label classification methods. It also contributes the presentation of an undocumented method and the defi-nition of a concept for the quantification of the multi-label nature of a data set.