A Python implementation of the fuzzy clustering algorithm C-Means and its improved version Gustafson-Kessel
These 2 algorithms were run on 3 different datasets: "iris" which describes 3 different kinds of flowers, "pima", and "wine" which is a dataset containing feauteres describing 3 different types of wine
The directory fuzzy_clustering contains the actual implementation of the algorithms while the folder data contains the 3 datasets.
Each dataset has a seperate sub-folder which contains plots showing how each algorithm was able to fit to that dataset and how each cluster is positioned and shaped