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A Python implementation of the fuzzy clustering algorithm C-Means and its improved version Gustafson-Kessel

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Fuzzy Clustering

A Python implementation of the fuzzy clustering algorithm C-Means and its improved version Gustafson-Kessel

Datasets

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

Contents

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

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A Python implementation of the fuzzy clustering algorithm C-Means and its improved version Gustafson-Kessel

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