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KODAMA: an R package for knowledge discovery and data mining
SUMMARY: KODAMA, a novel learning algorithm for unsupervised feature extraction, is specifically designed for analysing noisy and high-dimensional datasets. Here we present an R package of the algorithm with additional functions that allow improved interpretation of high-dimensional data. The packag...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408808/ https://www.ncbi.nlm.nih.gov/pubmed/27993774 http://dx.doi.org/10.1093/bioinformatics/btw705 |