Fuzzy Adaptive Clustering and Classification for Browsable Document Directories
نویسندگان
چکیده
We describe an algorithm used to automatically create a hierarchy of documents. This hierarchy is quickly regenerated and allows for dynamic changes in a document database. We use natural language processing, text clustering with fuzzy adaptive parameter techniques, classification rule extraction and summarization to create and maintain this hierarchy.
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