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Finding reproducible cluster partitions for the k-means algorithm
K-means clustering is widely used for exploratory data analysis. While its dependence on initialisation is well-known, it is common practice to assume that the partition with lowest sum-of-squares (SSQ) total i.e. within cluster variance, is both reproducible under repeated initialisations and also...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3548705/ https://ncbi.nlm.nih.gov/pubmed/23369085 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-S1-S8 |
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