In this project the fuzzy version of K-Means algorithm is implemented. Each datapoint is not forced to belong only to a specific
cluster, but can belong to clusters to varying degrees. Thats the difference between fuzzy clustering and normal clustering.
Additional explanations in notebook
Project description (in persian) here