Data summarization refers to the process of reducing a large dataset into a more compact and understandable form while retaining essential information. This technique is crucial in many applications, as it helps in revealing patterns and trends that might be lost in raw data, making it easier to analyze and interpret. In the context of clustering algorithms for data aggregation, data summarization helps in efficiently managing and processing the data collected from multiple sensors, facilitating better decision-making based on the summarized results.
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