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We study a novel fuzzy clustering method to improve the segmentation performance on the target texture image by leveraging the knowledge from a prior texture image. Two knowledge transfer mechanisms, i.e. knowledge-leveraged prototype transfer (KL-PT) and knowledge-leveraged prototype matching (KL-PM) are first introduced as the bases. Applying them, the knowledge-leveraged transfer fuzzy C-means...
Although research on clustering methods has been active in recent years, not only must most current clustering methods pre-set the number of clusters or other user-specific parameters but they also perform on large-scale datasets inefficiently. In this paper, we study the clustering problem by exploring the metaphor of gravitational kinematics based on Central Force Optimization (CFO). However, different...
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