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A New-Fangled FES-k-Means Clustering Algorithm for Disease Discovery and Visual Analytics
The central purpose of this study is to further evaluate the quality of the performance of a new algorithm. The study provides additional evidence on this algorithm that was designed to increase the overall efficiency of the original k-means clustering technique—the Fast, Efficient, and Scalable k-m...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171363/ https://www.ncbi.nlm.nih.gov/pubmed/20689710 http://dx.doi.org/10.1155/2010/746021 |