Entropy c-Means Clustering

Entropy c-Means identifies fuzzy clusters by simultaneously optimizing two contradictory objectives: objective f_1 identifies compact clusters, whereas objective f_2 identifies overlapped clusters.

Paper Source: Gupta A., Datta S. and Das S., "Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach," in IEEE Transactions on Cybernetics, 2019.

Implementations of Entropy c-Means

MATLAB implementations available in the matlab folder

Python implementations available in the python folder