PHIDA uses persistent homology to constrain node-to-cluster mapping in ART-based online clustering and reports top average ranks on 24 benchmarks in both stationary and nonstationary settings.
Hierarchical density estimates for data clustering, visualization, and outlier detection.ACM Transactions on Knowledge Discovery from Data, 10(1):1–51
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PHIDA: Persistence-Guided Node-to-Cluster Mapping for Online Clustering
PHIDA uses persistent homology to constrain node-to-cluster mapping in ART-based online clustering and reports top average ranks on 24 benchmarks in both stationary and nonstationary settings.