paolavaldivia / gsp_vis_data

Data Visualization applying Graph Signal Processing Filtering

Graph Signal Processing Data Filtering

Methodology to adapt the theory of Graph Signal Processing to filter high-dimensional data towards enhancing the quality of visualizations. The proposed filtering mechanisms result in less cluttered visualizations while highlighting important structures contained in the data, making the visual layouts cleaner and more informative.

Low-pass filtering

Enhancement filtering

Run the server

cd server

• python run

Run the app

cd front

• npm install
• npm start

Build the app

• npm run build