Trimmed fuzzy clustering for interval-valued data

@article{DUrso2015TrimmedFC,
  title={Trimmed fuzzy clustering for interval-valued data},
  author={Pierpaolo D'Urso and Livia De Giovanni and Riccardo Massari},
  journal={Adv. Data Analysis and Classification},
  year={2015},
  volume={9},
  pages={21-40}
}
In this paper, following a partitioning around medoids approach, a fuzzy clustering model for interval-valued data, i.e., FCMd-ID, is introduced. Successively, for avoiding the disruptive effects of possible outlier interval-valued data in the clustering process, a robust fuzzy clustering model with a trimming rule, called Trimmed Fuzzy C-medoids for interval-valued data (TrFCMd-ID), is proposed. In order to show the good performances of the robust clustering model, a simulation study and two… CONTINUE READING

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