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What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm
The K-means algorithm is one of the most popular clustering algorithms in current use as it is relatively fast yet simple to understand and deploy in practice. Nevertheless, its use entails certain restrictive assumptions about the data, the negative consequences of which are not always immediately...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036949/ https://www.ncbi.nlm.nih.gov/pubmed/27669525 http://dx.doi.org/10.1371/journal.pone.0162259 |