FuMé == Fuzzy C-Means

FuMé is an attempt to create a flexible and easy to use tool for unsupervised clustering. Apart from the classical implementation of Fuzzy C-Means algorithm, FuMé will support various methods for determining the best parameters for it - cluster count, fuzzifier and norm. The project's roadmap consists of the following steps:

  • Research & Planning
  • Implementation of a Python version of FuMé (working title PyFuMé).
  • Implementation of a C/C++ version of FuMé (working title ClassicFuMé).

The project has just started and ideas are desperately needed! Feel free to share them!

Current stage of the project: Research & Planning

Visit our Blog and Wiki for more on FuMé.

Or, better yet, ask us anything at the General Discussion or Free For All Forum.

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