Density peaks clustering using geodesic distances
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DOI: 10.1007/s13042-017-0648-x
Abstract: Density peaks clustering (DPC) algorithm is a novel clustering algorithm based on density. It needs neither iterative process nor more parameters. However, it cannot effectively group data with arbitrary shapes, or multi-manifold structures. To handle… read more here.
Keywords: using geodesic; density; peaks clustering; geodesic distances ... See more keywords