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Document Clustering

Document clustering is a method used to automatically organize a large collection of texts into groups, or "clusters," based on their content. Imagine sorting a library where books about similar topics are grouped together without knowing their titles beforehand. This process analyzes the words and themes within each document to identify natural similarities, allowing similar documents to be grouped, which makes it easier to find information and understand patterns across the collection. It is widely used in search engines, data analysis, and categorization tasks to simplify managing large amounts of text data.