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Clusters from higher order correlations
2010
Physics Letters A
Given a set of variables and the correlations among them, we develop a method for finding clustering among the variables. The method takes advantage of information implicit in higher-order (not just pairwise) correlations. The idea is to define a Potts model whose energy is based on the correlations. Each state of this model is a partition of the variables and a Monte Carlo method is used to identify states of lowest energy, those most consistent with the correlations. A set of the 100 or so
doi:10.1016/j.physleta.2010.02.021
fatcat:gzn4q2jycvhlvkful2snsn5k64