Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

Sparse Locally Linear Embedding

This repository contains MATLAB code related to the following article:

L. Ziegelmeier, M. Kirby, C. Peterson, "Sparse Locally Linear Embedding," Procedia Computer Science, 108C (2017), pages 635-644.

The file SparseLLE.m is the main piece of code which computes a lower-dimensional embedding by finding nearest neighbors of each point, determining a sparse weight vector of each of these nearest neighbors, and then uses this weight vector to find a lower-dimensional embedding by solving an eigenvector problem. The sparsity induced in the weights automatically selects an appropriate nearest neighbors for each point.

The file PDIPAQuad.m is called in the SparseLLE.m code. This solves the formulated quadratic program via the primal dual inter point algorithm. Note that this solves the full system of equations, however, reduced systems can speed up computations (although might induce instability).

About

Code for the Sparse LLE algorithm

Resources

Releases

No releases published

Packages

No packages published

Languages