Kevin Moon Research Lab

Kevin Moon Research Lab's repositories

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

Language:Jupyter NotebookGPL-3.019 2 10

Supervised visualization of high-dimensional data using random forests

GPL-3.03 1 1

Random Forest Geometry- and Accuracy-Preserving proximities

Language:RGPL-3.0200

Dynamical Information Geometry (DIG) for visualizing high-dimensional dynamical processes

Language:Jupyter Notebook1 10

KDE-based ensemble divergence estimator

Language:MATLABGPL-3.0100

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

010

Starter code for STAT/CS 6685 at Utah State University (USU)

Language:Jupyter Notebook000