Adaptive Density Peaks Clustering Based on Relative-Distance Growth Rate and Density-Bridge Merging
Density peaks clustering (DPC) is a representative density-based clustering method. However, conventional DPC usually relies on manual cluster-center selection or prior knowledge of the cluster number, and may suffer from unstable label assignment on complex data distributions. To improve the automation capability and...