Document Clustering uses cluster analysis to extract descriptive contexts from all kind of texts. It can be applied to documents, search results, websites, news, books, emails, and so on.
The extracted contexts allow to automatically group similar documents into meaningful topics, hierarchies, or categories (clusters). Clusters make it easier for users and applications to manage, sort and categorize the given information.
For example, clustering search results allows users to easily identify the searched information by having additional distinct topics assigned to the result sets.