HDI is a library for the scalable analysis of large and high-dimensional data. It contains scalable manifold-learning algorithms, visualizations and visual-analytics frameworks. HDI is implemented in C++, OpenGL and JavaScript. It is developed within a joint collaboration between the Computer Graphics & Visualization group at the Delft University of Technology and the Division of Image Processing (LKEB) at the Leiden Medical Center.

Authors

• Nicola Pezzotti initiated the HDI project, developed the A-tSNE and HSNE algorithms and implemented most of the visualizations and frameworks.
• Thomas Höllt ported the library to macOS.

Used

HDI is used in the following projects:

• Cytosplore: interactive system for understanding how the immune system works
• Brainscope: web portal for fast, interactive visual exploration of the Allen Atlases of the adult and developing human brain transcriptome
• DeepEyes: progressive analytics system for designing deep neural networks

Reference

Reference to cite when you use HDI in a research paper:

@inproceedings{Pezzotti2016HSNE,
  title={Hierarchical stochastic neighbor embedding},
  author={Pezzotti, Nicola and H{\"o}llt, Thomas and Lelieveldt, Boudewijn PF and Eisemann, Elmar and Vilanova, Anna},
  journal={Computer Graphics Forum},
  volume={35},
  number={3},
  pages={21--30},
  year={2016}
}
@article{Pezzotti2017AtSNE,
  title={Approximated and user steerable tsne for progressive visual analytics},
  author={Pezzotti, Nicola and Lelieveldt, Boudewijn PF and van der Maaten, Laurens and H{\"o}llt, Thomas and Eisemann, Elmar and Vilanova, Anna},
  journal={IEEE transactions on visualization and computer graphics},
  volume={23},
  number={7},
  pages={1739--1752},
  year={2017}
}

Building

To Do!

Tutorial

To Do!