| Evolutionary Clustering is the clustering of time series data when the temporal correlations are considered. Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, particularly in social network analysis.;Based on the recent literature on nonparametric Bayesian, we have developed a series specific models as solutions to this problem: DPChain, HDP-EVO and HDP- HTM [23, 24]. All these models substantially advance the literature on evolutionary clustering in the sense that not only they perform better than the existing literature, but more importantly they are capable of automatically learning the cluster numbers and structures during the evolution. Extensive evaluations have demonstrated the effectiveness and promise of these models against the state-of-the-art literature. |
