A label distribution manifold learning algorithm

Chao Tan, Sheng Chen, Xin Geng, Genlin Ji

Abstract: Highlights•Propose label distribution manifold learning for multilabel data.•Accurate reduce-dimension feature extraction for data, and kernel regression for estimating label distributions associated with extracted features.•Enhance maximum entropy estimation of label distributions for multilabel data with high accuracy and low complexity.