Applied biclustering methods for big and high-dimensional data using R/

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Bibliografiske detaljer
Andre forfattere: Kasim, Adetayo, Ed, Shkedy, Ziv, Ed, Kaiser, Sebastian, Ed, Hochreiter, Sepp, Ed, Talloen, Willem, Ed
Format: Printed Book
Udgivet: London: CRC Press, 2017.
Fag:
Big data.
Cluster set theory.
R(Computer programme language)
Online adgang:https://books.google.co.in/books?id=vzeLDQAAQBAJ&printsec=frontcover&dq=Applied+biclustering+methods+for+big+and+high-dimensional+data+using+R/&hl=en&sa=X&ved=0ahUKEwjG6tHR1MLWAhUIN48KHeIsCT0Q6AEIJTAA#v=onepage&q=Applied%20biclustering%20methods%20for%20big%20and%20high-dimensional%20data%20using%20R%2F&f=false

Internet

https://books.google.co.in/books?id=vzeLDQAAQBAJ&printsec=frontcover&dq=Applied+biclustering+methods+for+big+and+high-dimensional+data+using+R/&hl=en&sa=X&ved=0ahUKEwjG6tHR1MLWAhUIN48KHeIsCT0Q6AEIJTAA#v=onepage&q=Applied%20biclustering%20methods%20for%20big%20and%20high-dimensional%20data%20using%20R%2F&f=false

MG University

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Klassifikationsnummer: 005.7 Q7
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