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Fuzzy c-means according to the research paper by James C. Bezdek et. al

Project description


Fuzzy c-means Clustering


This implementation is based on the paper FCM: The fuzzy c-means clustering algorithm by: James C.Bezdek, Robert Ehrlich, and William Full

To run the tests


To run the coverage


Install via pip

pip install fuzzycmeans

How to use it

  1. Fit the model. This is to cluster any given data X.
X = np.array([[1, 1], [1, 2], [2, 2], [0, 0], [0, 0]])
fcm = FCM(n_clusters=3, max_iter=1), [0, 0, 0, 1, 2])
  1. (Optional.) Use the model to assign new data points to existing clusters. Note that the predict function would return the membership as this a fuzzy clustering.
Y = np.array([[1, 2], [2, 2], [3, 1], [2, 1], [6, 8]])
membership = fcm.predict(Y)

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