[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
-
Updated
Oct 6, 2017 - Python
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
Python implementation of EMD-HDD, a hierarchical embedding and distance recovery method using earth movers' distance, hyperbolic geometry diffusion geometry designed for hyperspectral imaging.
Add a description, image, and links to the diffusion-distance topic page so that developers can more easily learn about it.
To associate your repository with the diffusion-distance topic, visit your repo's landing page and select "manage topics."