DocumentCode
3581190
Title
Dimension reduction methods in graph drawing problem
Author
Zaoralek, Lukas ; Burianek, Tomas ; Snasel, Vaclav
Author_Institution
Dept. of Comput. Sci. & Dept. of Electr. Eng., VSB - Tech. Univ. of Ostrava, Ostrava, Czech Republic
fYear
2014
Firstpage
13
Lastpage
18
Abstract
Graph is a standard data structures mainly used to impose relations in a connected network of objects. Graphs are drawn mostly in ℝ2 space with vertices as points and edges as straight lines connecting vertices. Methods for reduction of dimension are intended for projecting high-dimensional data to a new representation in low-dimensional space. Objective of this work is to use selected dimension reduction methods as a main step in construction of a graph drawing. Graph drawings by selected methods are compared to each other and also to the classical approach presented by Kamada and Kawai.
Keywords
graph theory; ℝ2 space; dimension reduction methods; graph drawing problem; high-dimensional data projection; low-dimensional space; Computational modeling; Dolphins; Electronic mail; Autoencoder; Dimension Reduction; Graph Drawing; Kamada-Kawai; Neighborhood Preserving Embedding; Sammon´s Mapping; Symmetric Stochastic Neighbor Embedding;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2014 14th International Conference on
Print_ISBN
978-1-4799-7937-0
Type
conf
DOI
10.1109/ISDA.2014.7066252
Filename
7066252
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