Projects authored by matthias hein.


Logo CFSPCommunityDetection 1.0

by tbuehler - October 13, 2014, 05:36:24 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 790 views, 188 downloads, 1 subscription

About: A community detection method based on constrained fractional set programming (CFSP).

Changes:

Initial Announcement on mloss.org.


Logo pSpectralClustering 1.1

by tbuehler - July 30, 2014, 19:44:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5789 views, 1297 downloads, 2 subscriptions

About: A generalized version of spectral clustering using the graph p-Laplacian.

Changes:
  • fixed compatibility issue with Matlab R2013a+
  • several internal optimizations

Logo Sparse PCA 1.0

by tbuehler - January 8, 2012, 19:01:47 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3068 views, 695 downloads, 1 subscription

About: A Matlab implementation of Sparse PCA using the inverse power method for nonlinear eigenproblems.

Changes:

Initial Announcement on mloss.org.


Logo 1SpectralClustering 1.1

by tbuehler - June 27, 2011, 10:45:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7590 views, 1439 downloads, 1 subscription

About: A fast and scalable graph-based clustering algorithm based on the eigenvectors of the nonlinear 1-Laplacian.

Changes:
  • fixed bug occuring when input graph is disconnected
  • reduced memory usage when input graph has large number of disconnected components
  • more user-friendly usage of main method OneSpectralClustering
  • faster computation of eigenvector initialization + now thresholded according to multicut-criterion
  • several internal optimizations

About: Matlab code for semi-supervised regression and dimensionality reduction using Hessian energy.

Changes:

Initial Announcement on mloss.org.


Logo GraphDemo 1.0

by ule - November 27, 2007, 20:11:21 CET [ Project Homepage BibTeX Download ] 4121 views, 1178 downloads, 0 subscriptions

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About: The GraphDemo provides Matlab GUIs to explore similarity graphs and their use in machine learning. It aims to highlight the behavior of different kinds of similarity graphs and to demonstrate their [...]

Changes:

Initial Announcement on mloss.org.