Interactive Visualization of Statistical Data using Multidimensional Scaling Techniques
Independent thesis Basic level (professional degree)Student thesis
This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137.
In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions.
In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As the Smartdoc project aims to develop smart, interactive components to be used on low-end systems, the implementation of the self-organizing map algorithm proposes which dimensions to visualize.
Together with Dr. Robert Treloar at Unilever, the SOM Visualizer - an application for interactive visualization and analysis of multidimensional data - has been developed. The analytical part of the application is based on Kohonen’s self-organizing map algorithm. In cooperation with the Smartdoc project, a component has been developed that is used for smart filtering in multidimensional data sets. Microsoft Visual Basic and components from the graphics library AVS OpenViz are used as development tools.
Place, publisher, year, edition, pages
Institutionen för teknik och naturvetenskap , 2003. , 54 p.
Datorteknik, Information visualization, Self-Organizing map, SOM, Interactive visualization, Multidimensional scaling, GUI, VUI, Smart filter, Real-time analysis
IdentifiersURN: urn:nbn:se:liu:diva-1716ISRN: LITH-ITN-MT-EX--03/008--SEOAI: oai:DiVA.org:liu-1716DiVA: diva2:19041