Mining an optimal prototype from a periodic time series: an evolutionary computation-based approach
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Bayesian approach to a segmentation model based on the switching linear Gaussian ...