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2008

Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach

11 years 7 months ago
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimization process, we introduce subgraph rotating and scaling processes into the genetic algorithm. Compared with existing methods, the proposed approach is more feasible and promising, with more accurate graph layout and more satisfiable computationally efficient performance, as demonstrated by the experimental results.
Jiayu Zhou, Youfang Lin, Xi Wang
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2008
Where AAAI
Authors Jiayu Zhou, Youfang Lin, Xi Wang
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