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 parameter-free adaptive resonance theory-based topological clustering algorithm capable of continual learning.Neural Computing and Applications, 38(7):217
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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.