SegMine is available under GPL licence (the same as Orange and Orange4WS). It is developed on Linux, and works on Linux, Windows, and Mac (not yet tested on Mac).

SegMine is implemented as a collection of widgets for Orange4WS, so it requires a working Orange4WS environment. We provide binary installers for Orange4WS, SegMine and ZSI (ZSI is required for Orange4WS). Full Orange installer is also provided.

Download

• Windows systems (XP, Vista, 7):
  • full Orange installer (for updating: orange without external libraries)
  • ZSI installer
  • Orange4WS installer
  • SegMine installer
• Linux and Mac:
  • Orange installation from source
  • ZSI source snapshot
  • Orange4WS source snapshot
  • SegMine source snapshot

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How to install

Windows platforms

1. It is recommended that you uninstall any previous version of SegMine and Orange4WS.
2. Download and run full Orange installer. It includes Python2.6, PyQt4, PqQwt, numpy, etc. Software already present will be skipped during the installation.
   NOTE: if you are just updating, use the pure Orange installer (without external libraries).
3. Download and run installers for ZSI, Orange4WS and SegMine.

Linux and Mac (not yet tested on Mac!)

1. First, install Orange and its dependencies. Detailed instructions are here.
2. Then, download, unpack and install ZSI. This can be accomplished by typing:

   tar -zxvf ZSI.tar.gz
   cd ZSI
   python setup.py install (you must be root to do that)
   

3. Third, download, unpack and install Orange4WS. This can be accomplished by typing:

   tar -zxvf Orange4WS.tar.gz
   cd Orange4WS
   python setup.py install (you must be root to do that)
   

4. Next, download and install SegMine. This can be accomplished by typing:

   tar -zxvf SegMine.tar.gz
   cd SegMine
   python setup.py install (you must be root to do that)
   

5. Now SegMine is available as a collection of widgets inside Orange4WS.
   Orange4WS where SegMine is available can be started with the shortcut:
   

   orange4WS
   

   or a command like this (the actual path may be different on your system):

   python /usr/lib64/python2.6/site-packages/orange/OrangeCanvas/orngCanvas4WS.pyw
   

This work was supported by the European Commission under the FP7-ICT-2007-C FET-Open project BISON-211898, by the Slovenian Research Agency grants P2-0103, J4-2228, P4-0165, Slovenian Ministry of Higher Education, Science and Technology grant No. 4302-38- 2006-4 and by the Algorithmic Data Analysis (Algodan) Centre of Excellence of the Academy of Finland.