| Abstract: |  The thesis deals with design and implementation of a web-based application that is used for visualization of large-scale data from multi-agent simulations. An overview of related applications for web-based visualizations and of available technologies is presented. From this overview, system architecture, consisting of modular filter framework on the server side, and utilizing jQuery framework on the client side, is proposed. Filter framework uses K-means, agglomerative hierarchical clustering, line clustering, and kernel density estimation algorithms, which enable fast-response visualization in a web browser. Static and dynamic visualizations are supported, therefore whole simulation can be replayed. The application is tested on different data sets to evaluate performance and accuracy.
|
|---|