Assessing Search and Unsupervised Clustering Algorithms in Nested Sampling
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DOI: 10.3390/e25020347
Abstract: Nested sampling is an efficient method for calculating Bayesian evidence in data analysis and partition functions of potential energies. It is based on an exploration using a dynamical set of sampling points that evolves to… read more here.
Keywords: unsupervised clustering; nested sampling; clustering algorithms; assessing search ... See more keywords