The exporters create JSON files with both network topology and data tables, and users can create complex data visualizations which cannot be achieved with Cytoscape alone.
SOM is a powerful unsupervised clustering method that provides an efficient interpretation of complex data, using visualization on one map.
However, in most cases the complex data and multiple visualizations lead to poor user experience.
In addition, the multimedia presentation facilitates data exploration through its complex information visualizations and support for direct manipulation of presentation elements.
Visual analytics enhances the understanding of large, complex data with effective, interactive visualization [1].
SOMs are suitable for complex data integration, allow easy visualization of outcomes, and may stratify BC progression more robustly than hierarchical clustering.
For example, Aaron Koblin, creative director at the Data Arts Team at Google, has designed a number of "classic" data visualizations involving large, complex data sets.
Among them is data visualization, the new visual language that depicts complex information clearly.
