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
Link To Document