PROBI is a data stream algorithm for the probabilistic Euclidean k-median problem.
This implementation is an heuristic and fast version of PROBI.
It also features a second algorithm for the probabilistic Euclidean k-means problem.

For more information and the full documentation refer to the PROBI website:
http://ls2-www.cs.uni-dortmund.de/probi/

Building PROBI
--------------
The PROBI sample applications can be built by generating the project files
with Premake [1] in probi-environment and compiling them.
A generated Makefile using GCC is provided for convenience.

**Example:** Generation of a Makefile using Linux
> premake4 gmake

Four configurations are available
- "Debug" and "Release" for k-median
- "DebugKmeans" and "ReleaseKmeans" for k-means

**Example:** Compiling using the "Release" configuration
> make config=release

Attention: Debug configurations need header files which are ordinarily available only on Unix based operating systems.


[1] http://industriousone.com/premake