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- W2359609627 abstract "Small amount of labeled data are used in semi-supervised clustering algorithms to improve the performance of the algorithms.It is a research hotspot in pattern recognition and its related fields.In this paper,some developments on semi-supervised clustering are introduced including constraint-based,distance-based and the combination of them.Using semi-supervised strategy to fuzzy C-means,a semi-supervised fuzzy C-means(constrained FCM)algorithm is proposed.Experimental results show that the proposed method obtains better accuracy compared with FCM and semi-supervised K-means." @default.
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- W2359609627 date "2009-01-01" @default.
- W2359609627 modified "2023-09-27" @default.
- W2359609627 title "Some Developments on Semi-Supervised Clustering" @default.
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