Application Scenarios

As a representative of unsupervised learning, clustering is widely used in data processing scenarios, such as dataset enhancement and dataset processing. In some deep learning scenarios, there is less labeled data but more unlabeled data. You can use clustering to preprocess and label the raw data, and then provide labeled data for deep learning. In this way, the dataset labeling cost in reduced, and larger datasets help improve model performance.