intervals are also long-term correlated with the exponent γ, yielding clustering of both small and large return intervals. We … provide indications that both the stretched exponential behaviour and the clustering of rare events can be seen in long …

including transaction costs. Computational results based on clustering selection are compared to those of random techniques and … show the importance of clustering in noise reduction and robust forecasting applications, in particular for enhanced index …

We inspect a possible clustering structure of the corruption perception among 134 countries. Using the average linkage … clustering, we uncover a well-defined hierarchy in the relationships among countries. Four main clusters are identified and they … of hierarchical and clustering methods to the specific case of corruption. …

standard mean-field description which neglects correlation effects and clustering; (ii) a moment dynamics description which … approximately incorporates correlation and clustering effects; and (iii) averaged data from repeated discrete simulations which … directly incorporates correlation and clustering effects. Comparing these three descriptions indicates that the mean-field and …

which achieves the following challenges: it produces graphs which have the three main wanted properties (clustering, degree …

Graph clustering has been an essential part in many methods and thus its accuracy has a significant effect on many … circuits demands clustering algorithms with nearly-linear time and space complexity. In this paper we propose Personalized … PageRank Clustering (PPC) that employs the inherent cluster exploratory property of random walks to reveal the clusters of a …