Convolutional Variational Deep Embedding (VADE) for features extraction in images
-
Updated
Sep 15, 2025 - Jupyter Notebook
Convolutional Variational Deep Embedding (VADE) for features extraction in images
This project implements a minimum spanning tree based clustering technique and compares its precision with k-means. A parellel version using the MPI interface is implemented as well.
To associate your repository with the clustering-technique topic, visit your repo's landing page and select "manage topics."