
Clustering for Pseudo-Labels: Grouping Data Before Manual Annotation
Clustering and pseudo-labels have streamlined the data annotation by providing unlabeled data for AI models.
Unsupervised methods generate pseudo-labels to train AI models on unannotated data. This approach is used in semi-supervised learning, where pseudo-labels improve the performance of AI models. However, generating noiseless labels remains a challenge that requires