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Ckmeans.1d.dp: Optimal k-means Clustering in One Dimension by Dynamic Programming
The heuristic k-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 Ckmeans.1d.dp. We demonstrate its advantage in optimality and run...
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| Publié dans: | R J |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2011
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5148156/ https://ncbi.nlm.nih.gov/pubmed/27942416 |
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