SUGAR Geometry-Based Data Generation

SUGAR is a tool for generating high dimensional data that follows a low dimensional manifold. SUGAR (Synthesis Using Geometrically Aligned Random-walks) uses a diffusion process to learn a manifold geometry from the data. Then, it generates new points evenly along the manifold by pulling randomly generated points into its intrinsic structure using a diffusion kernel. SUGAR equalizes the density along the manifold by selectively generating points in sparse areas of the manifold.

Ofir Lindenbaum, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy Geometry-Based Data Generation. 2018. Arxiv

SUGAR has been implemented in Python3 and Matlab.

Getting started

MATLAB installation

1. The MATLAB version of PHATE can be accessed using:

    $ git clone git://github.com/stanleyjs/SUGAR.git
    $ cd SUGAR/Matlab
   

2. Add the SUGAR/Matlab directory to your MATLAB path and run any of our test scripts to get a feel for SUGAR.