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Document Clustering: A Summarized Survey

Document Clustering: A Summarized Survey
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Author(s): Harsha Patil (Maulana Azad National Institute of Technology, India)and R. S. Thakur (Maulana Azad National Institute of Technology, India)
Copyright: 2018
Pages: 18
Source title: Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5191-1.ch003

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Abstract

As we know use of Internet flourishes with its full velocity and in all dimensions. Enormous availability of Text documents in digital form (email, web pages, blog post, news articles, ebooks and other text files) on internet challenges technology to appropriate retrieval of document as a response for any search query. As a result there has been an eruption of interest in people to mine these vast resources and classify them properly. It invigorates researchers and developers to work on numerous approaches of document clustering. Researchers got keen interest in this problem of text mining. The aim of this chapter is to summarised different document clustering algorithms used by researchers.

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