An Multi-Label Classification with Label Correlation
S. Sabena, S. Kalaiselvi, B. Anusha, L. Sai Ramesh · Asian Journal of Research in Social Sciences and Humanities · 2016
Nowadays multi-label data are numerously available in real-world applications. Multi-label data instances are associated with more number of class labels at same time. Generally, the multi-label classification is done in many ways. Recognize of label correlation in multi-label data is difficult. In proposed work, the correlation between the labels is finding by using the Fire Fly Algorithm (FFA). The experimental results are evaluated with the 20newsgroups dataset with better performance.