Topology-Guided Density Peak Clustering
Density Peak Clustering (DPC) has emerged as a powerful clustering algorithm capable of identifying clusters of arbitrary shapes by detecting density peaks in data. However, DPC suffers from several limitations: manual selection of cluster centers from the decision graph, sensitivity to the cutoff distance parameter, a...