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.
A federated data-driven multiobjective evolutionary algorithm via continual learnable clustering
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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.