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Robust clustering in high dimensional data using statistical depths
BACKGROUND: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor center representative for high dimensional data. We need a new algorithm that is robust and works well in high dimensional da...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2099500/ https://www.ncbi.nlm.nih.gov/pubmed/18047731 http://dx.doi.org/10.1186/1471-2105-8-S7-S8 |