Soft transition from probabilistic to possibilistic fuzzy clustering

@article{Masulli2006SoftTF,
  title={Soft transition from probabilistic to possibilistic fuzzy clustering},
  author={Francesco Masulli and Stefano Rovetta},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2006},
  volume={14},
  pages={516-527}
}
In the fuzzy clustering literature, two main types of membership are usually considered: A relative type, termed probabilistic, and an absolute or possibilistic type, indicating the strength of the attribution to any cluster independent from the rest. There are works addressing the unification of the two schemes. Here, we focus on providing a model for the transition from one schema to the other, to exploit the dual information given by the two schemes, and to add flexibility for the… CONTINUE READING
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