The heuristic -means algorithm, widely used for cluster analysis, does not guarantee optimality. We developed a dynamic programming algorithm for optimal one-dimensional clustering. The algorithm is implemented as an R package called . We demonstrate its advantage in optimality and runtime over the standard iterative -means algorithm.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5148156PMC

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