Federico P. Cortese

Fuzzy network jump models for soft dynamic clustering of graph-structured data

A fuzzy network jump model for clustering time-varying observations indexed by the nodes of a weighted graph that accurately recovers the true membership probabilities and outperforms competing clustering methods is introduced.