Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data
Data imbalance poses a major challenge in supervised classification, where the majority-class bias contributes to false negatives and overestimates classification accuracy. Unsupervised deep clustering can be immune to class imbalance because representation learning for clustering is performed without class labels. Dee...