Ad­apt­ive Seed­ing for Gaus­si­an Mix­ture Mod­els

Supplemental Material

  • includes our C++ implementation of various initialization methods as well as methods to generate artificial data sets.
  • contains all the evaluations presented in the paper and those that have been omitted.


Sourcecode and data files provided on this webpage come without any warranty. Use at your own risk!

The sourcecode provided on this webpage is the intellectual property of its authors. You have permission to download and use this sourcecode for the sake of inspection and for private and academic use. You are not allowed to redistribute this sourcecode without our permission. If you want to use the sourcecode in any other way as granted above, please contact Kathrin Bujna.

Please read the included README files.