Applied Biclustering Methods for Big and High-Dimensional Data Using R baixar o livro de graça

de Publisher CRC Press
Biclustering is a data-mining technique that allows simultaneous clustering of rows and columns within a matrix. This book focuses on biclustering as an unsupervised learning method for high-dimensional data and big data structure. The book covers this increasingly important methodology and illustrates its versatility beyond the analysis of gene expression. The book also provides easy-to-follow illustrations of how biclustering can be implemented in practice using the R-based user-friendly graphical interface BiclustGUI.
  • Adetayo Kasim Autor:
  • 1482208237 Isbn 10:
  • 978-1482208238 Isbn 13:
  • Capa dura Páginas de capa mole:
  • CRC Press Publisher:
  • 789 g Peso:
  • 789 g Peso:
  • Inglês Idioma Applied Biclustering Methods for Big and High-Dimensional Data Using R:

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