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Because the semi-supervised clustering can take advantage of some labeled data also called seeds to affect the clustering of unlabeled data, this paper proposed a semi-supervised clustering method based on a locality-weight fuzzy c-means clustering algorithm. The presented clustering method uses some seeds for the initialization and applies one novel decision rule to reassigning the class label to...
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