In this paper, we present a method that creates explicit knowledge from genomic data in real-time. The explicit knowledge we define here is semantic information [Gilson et al. 2008], which should depend on the input data and the user's interest. Although it has been known that explicit knowledge can possibly be extracted by applying machine learning algorithms [Gomez-Perez and Manzano- Macho 2004]... read more, extracting explicit knowledge from genomic data ishighly computational. Hence, we design an approach based on applyingboth Principal Component Analysis (PCA) and hierarchicalclustering method sequentially to extractrepresentative organisms.To place the elected organisms in visual space, a force-based placementis used. Based on our approach, we found that the user is ableto interactively analyze genomic data in real time.read less
Jeong, Dong Hyun, Remco Chang, and William Ribarsky. "Creating a Knowledge Structure in Real-Time." Poster presented at the Eurographics/IEEE Symposium on Visualization EuroVis2009, Berlin, Germany, June 10-12, 2009.