Name
Abstract | ||
|---|---|---|
Visualization of complex real-world data is an essential part of network processing. Complex high-dimensional or networked data ought to be presented in a form suitable for machine and human analysis. Therefore, advanced methods of dimension reduction or projection to low-dimensional spaces are investigated. In this work we use Differential Evolution as a real-parameter optimization metaheuristic algorithm to minimize the error function used in Sammon's projection and compare its results with the results obtained by a traditional heuristic algorithm for Sammon's projection. The metaheuristic algorithm achieves lower projection error and its results are demonstrated on a 2D visualization of real-world data from the domain of social networks. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/AINA.2014.121 | Advanced Information Networking and Applications |
Keywords | Field | DocType |
data visualisation,evolutionary computation,optimisation,social networking (online),Sammon projection computation,complex real-world data 2D visualization,differential evolution,dimension reduction,error function minimization,low-dimensional space projection,network processing,real-parameter optimization metaheuristic algorithm,social networks,Sammon's projection,differential evolution,social networks,visualization | Sammon mapping,Error function,Dimensionality reduction,Algorithm design,Heuristic (computer science),Visualization,Computer science,Algorithm,Differential evolution,Theoretical computer science,Distributed computing,Metaheuristic | Conference |
ISSN | Citations | PageRank |
1550-445X | 0 | 0.34 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krömer Pavel | 1 | 330 | 59.99 |
| Milos Kudelka | 2 | 116 | 23.81 |
| Snael, V. | 3 | 0 | 0.34 |
| Radvansky, M. | 4 | 0 | 0.34 |