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Clustering is the problem of partitioning data into a finite number k of homogeneous and separate groups, called clusters. A good choice of k is essential for building meaningful clusters. In this paper, this task is addressed from the point of view of model selection via penalization. We design...
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systematic framework of preferences modeling in cluster analysis. …
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without immunization and show that all the moments of the cluster size distribution at the critical rate of infection are …. No giant cluster survives independent of the magnitude of the rate of infection. …
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