Clustering Study of Existing Models

[genaforvena]

In this issue, we aim to study the existing models and cluster them based on their characteristics. The goal is to document the variabilities, as well as the good and bad parts of each model.

Tasks:

1. Identify and list the existing models.
2. Apply clustering algorithms to group similar models.
3. Document the variabilities in each cluster.
4. Highlight the good and bad parts of each model.

Expected Outcome:
A comprehensive report detailing the clusters of models, their variabilities, and their pros and cons.