Technology

We use Self-Organizing Maps (SOM) to learn and observe the representation of high-dimensional datasets, that are challenging to visualize otherwise.

About Us

Bianor is developed by Data Scientists at Ophelia R&D, an association researching the detection and visualization of abnormal observations.

"Bianor builds upon Lilypond, the visualization tool we developed to create enhanced Self-Organizing Map (SOM) displays. Lilypond was inspired by water lilies; as you can see, the extracted maps look like clusters of lily pads floating on the water's surface. Following this metaphor, Bianor is more like a scenery of descending butterflies, where we can observe which historical pattern they land on and whether it seems out of context."

— Mate Balogh, Founder of the Ophelia R&D association