DocumentCode
492500
Title
Clustering Algorithm Using Quoting Relation of Documents
Author
Jeong, Hye-Jin
Author_Institution
Div. of Electron. & Inf. Eng., Chonbuk Nat. Univ., Jeonju
Volume
2
fYear
2008
fDate
13-15 Dec. 2008
Firstpage
29
Lastpage
34
Abstract
There is increasing interest in clustering, owing to improvements in computer capacity and expanding accessible information, circa 1990s. This paper aims to increase cohesion of clustering borrowing from techniques of pagerank showing the links among pages by assigning numerical values to the relevance of pages linked in Web pages. There are cases that need to be referenced in other documents because of any index in academic information. The greater the frequency of referenced academic information, the higher the probability that the referenced index of the document is relevant. Relations among documents referencing each other, are calculated via literature citing each document. The method of increasing the cohesion of clustering involves controlling the distance between two documents based on the values.
Keywords
Internet; document handling; information retrieval; pattern classification; pattern clustering; probability; unsupervised learning; Web page; academic information; cohesion clustering algorithm; document referencing index; probability; quoting relation; unsupervised learning classification; Clustering algorithms; Conferences; Clustering; quoting relation;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-3430-5
Electronic_ISBN
978-0-7695-3546-3
Type
conf
DOI
10.1109/FGCNS.2008.77
Filename
4813515
Link To Document