Abstract: In multi-label classification, label-specific feature learning strategies can capture discriminative attributes of different labels to enhance model performance. However, in realworld ...

Abstract: We propose a novel ensemble clustering approach for multi-label document classification by decoding cluster boundaries. Our methodology leverages the strengths of multiple clustering ...