This code accompanies the paper
D. Ali, A. Asaad, M.-J. Jimenez, V. Nanda, E. Paluzo-Hidalgo, and M. Soriano-Trigueros, “A survey of vectorization methods in topological data analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–14, 2023. doi:10.1109/TPAMI.2023.3308391.
Link to the web-app repository: BRAVA
This experiment is compatible with the following versions of python >= 3.8 & < 3.11.
A library containing all the vectorization methods can be found in the vectorization folder. To install it, download the repository and, in a terminal inside the repository folder, use:
pip install -r requirements.txtpip install .
Experiments with three datasets were developed that you can find in the following scripts:
| Dataset |
|---|
| Outex |
| Fashion MNIST |
| Shrec14 |
The barcodes used in the experiments were calculated using the following scripts:
| Dataset |
|---|
| Outex |
| Fashion MNIST |