• DocumentCode
    1776614
  • Title

    Sentence clustering in text document using fuzzy clustering algorithm

  • Author

    Sruthi, S. ; Shalini, L.

  • Author_Institution
    Dept. of CSE, MCET, Pollachi, India
  • fYear
    2014
  • fDate
    10-11 July 2014
  • Firstpage
    1473
  • Lastpage
    1476
  • Abstract
    The paper proposes FRECCA algorithm to find out the clusters of sentences having the inter relation among them. The system uses the fuzzy clustering algorithm that compares the sentences and find out the similarity value and forms a cluster. The fuzzy clustering algorithm checks the possibility of the sentence to which cluster it belongs to. In this paper a Genetic algorithm approach is also suggested that checks the highest similarity value between the sentences and grouped to form a cluster in a more sophisticated manner, there by forming n number of clusters from n sentences.
  • Keywords
    fuzzy set theory; genetic algorithms; pattern clustering; text analysis; FRECCA algorithm; fuzzy clustering algorithm; genetic algorithm approach; sentence clustering; sentence clusters; text document; Accuracy; Clustering algorithms; Dictionaries; Genetic algorithms; Instruments; Redundancy; Semantics; FRECCA algorithm; Genetic algorithm; fuzzy clustering algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4799-4191-9
  • Type

    conf

  • DOI
    10.1109/ICCICCT.2014.6993192
  • Filename
    6993192