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PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
Jupyter Notebook 19 10
Supervised visualization of high-dimensional data using random forests
3
Random Forest Geometry- and Accuracy-Preserving proximities
R 2
KDE-based ensemble divergence estimator
MATLAB 1
Jupyter Notebook
Starter code for STAT/CS 6685 at Utah State University (USU)
Dynamical Information Geometry (DIG) for visualizing high-dimensional dynamical processes
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