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    • Thesis & Report, BSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Document clustering using swarm intelligence

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    Document clustering using swarm intelligence.pdf.pdf (578.1Kb)
    Date
    2012-12
    Publisher
    BRAC University
    Author
    Rizwan, Md. Adeeb
    Metadata
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    URI
    http://hdl.handle.net/10361/2381
    Abstract
    With the recent rise in electronic data, and the pressing time needs of daily life, there is scope for a good document clustering system that can divide a set of documents into similar topic clusters. A lot of different algorithms have been attempted towards this end, from statistical learning methods to neural networks. In more recent years, there has been a growing interest in collective intelligence as often displayed in nature by ants and birds. We would like to do a survey of this last field, and look for possible applications of algorithms in this area for the document clustering problem.
    Keywords
    Computer science and engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 27).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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