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:
The project has just started and ideas are desperately needed! Feel free to share them!
Current stage of the project: Research & Planning