Deep Clustering

Deep Clustering is a deep learning technique that uses unsupervised learning methods to map high-dimensional data to a low-dimensional embedding space, and then performs clustering in this space to discover the intrinsic structure and patterns of the data. In the field of natural language processing, Deep Clustering can effectively identify hidden topics and categories in text data, enhancing the performance of tasks such as information retrieval and sentiment analysis, making it of significant application value.