FreeViz--an intelligent multivariate visualization approach to explorative analysis of biomedical data.
Faculty of Computer and Information Science, University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia. [email protected]
- Published Article
Journal of Biomedical Informatics
- Publication Date
Dec 01, 2007
Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The paper presents FreeViz, an optimization method that finds linear projection and associated scatterplot that best separates instances of different class. In a single graph, the resulting FreeViz visualization can provide a global view of the classification problem being studied, reveal interesting relations between classes and features, uncover feature interactions, and provide information about intra-class similarities. The paper gives mathematical foundations of FreeViz, and presents its utility on various biomedical data sets.
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The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/17531544