DocumentCode
529363
Title
Visualizing similar text documents based on 3D dendrogram
Author
Kinoshita, Tomohito ; Ohkubo, Tomoyuki ; Kobayashil, Kazuyuki ; Watanabe, Kajiro ; Kurihara, Yosuke
Author_Institution
Fac. of Eng., Hosei Univ., Tokyo, Japan
fYear
2010
fDate
18-21 Aug. 2010
Firstpage
1285
Lastpage
1288
Abstract
This paper describes a new data visualization method using a three-dimensional dendrogram to And the relationship between similar text documents. For the detection of similarities in documents, we introduce two basic evaluation functions, "LCS" and "SED." We constructed and developed the proposed algorithm in MATLAB language, and conducted a comparison measurement and examined the evaluations. The validity of the proposed method can be verified by applying actual documents to demonstrate the 3D visualization.
Keywords
data visualisation; mathematics computing; text analysis; LCS; MATLAB language; SED; data visualization method; longest common subsequence; shortest edit distance; similar text document visuallization; three-dimensional dendrogram; Algorithm design and analysis; Clustering algorithms; Data visualization; Detection algorithms; Software algorithms; Three dimensional displays; Visualization; 3D visualization; LCS; SED; dendrogram;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference 2010, Proceedings of
Conference_Location
Taipei
Print_ISBN
978-1-4244-7642-8
Type
conf
Filename
5602599
Link To Document