Density Peaks Clustering Based on Potential Model and Diffusion Strength
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DOI: 10.1109/access.2022.3227936
Abstract: Density peaks clustering (DPC) is a simple and efficient density-based clustering algorithm without complex iterative procedures. However, DPC needs to manually choose clustering centers via a decision graph, which often can’t identify real centers and… read more here.
Keywords: density peaks; diffusion; density; peaks clustering ... See more keywords