Objective function of semi-supervised Fuzzy C-Means clustering algorithm

@article{Li2008ObjectiveFO,
  title={Objective function of semi-supervised Fuzzy C-Means clustering algorithm},
  author={Chunfang Li and Lianzhong Liu and Wenli Jiang},
  journal={2008 6th IEEE International Conference on Industrial Informatics},
  year={2008},
  pages={737-742}
}
Analyzed here is the physical interpretation of objective function of semi-supervised fuzzy C-means (SS-FCM) algorithm and its coefficient alpha. A conclusion-Stutzpsilas modification to the objective function of Pedrycz is much clearer: unlabeled samples involves in unsupervised learning of FCM, labeled samples involves in unsupervised learning with coefficient (1-a) and participate in supervised learning with a, and when a=1 or 0, the SS-FCM degrades to FCM-is illustrated. The corresponding… CONTINUE READING

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