Density peaks clustering based on density backbone and fuzzy neighborhood.

Pattern Recognition(2020)

Cited 62|Views132
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Abstract
•A novel dynamic density peaks clustering method called DPC-DBFN is proposed.•A fuzzy kernel is proposed to compute the local densities of the data points.•A graph-based label propagation strategy is used to identify backbones, border areas and noisy points.•DPC-DBFN can effectively assign true labels to border points located in overlapped regions.•The results on real-world, images and synthetic data show the effectiveness of the proposed method.
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Key words
Fuzzy kernel,Density peaks clustering,Noise detection,Label propagation
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