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
f2c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

pspectralclustering is a parallel C++ implementation of Parallel Spectral Clustering. We are expecting to present a highly optimized parallel implemention of all the steps of spectral clustering. We use PARPACK as underlying eigenvalue decomposition package and F2C to compile fortran code.

If you wish to publish any work based on pspectralclustering, please cite our paper as:

The bibtex format is

@article{Chen11,
  author = {Wen-Yen Chen and Yangqiu Song and Hongjie Bai and Chih-Jen Lin and Edward Y. Chang},
  title = {Parallel Spectral Clustering in Distributed Systems},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume = {33},
  number = {3},
  pages = {568-586},
  year = {2011}
}  

You can also download our paper here.

If any problems using it, please send mail to pspectralclustering@googlegroups.com

About

Parallel Spectral Clustering

Resources

Releases

No releases published

Packages

No packages published

Languages