Data Summarization

Data summarization is a core issue in machine learning, aiming to compute a small-scale summary from a large-scale dataset to efficiently retain the key features and information of the original data. The goal of this task is to optimize the use of storage and computational resources by reducing the volume of data, while ensuring that the summarized data can support subsequent analysis and modeling tasks. Data summarization has significant application value in scenarios such as big data processing, data stream analysis, and distributed computing.