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Princeton University Library Catalog
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Applied biclustering methods for big and high dimensional data using R / editors, Adeyto Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter and Willem Talloen.
Format
Book
Language
English
Published/Created
Boca Raton : Taylor & Francis, CRC Press, 2016.
Description
401 pages : illustrations ; 26 cm
Availability
Available Online
SCI-TECHnetBASE
Taylor & Francis eBooks Complete
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Firestone Library - Stacks
QA76.9.B45 A67 2016
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Details
Subject(s)
Big data
[Browse]
Cluster set theory
[Browse]
R (Computer program language)
[Browse]
Editor
Kasim, Adeyto
[Browse]
Series
Chapman & Hall/CRC biostatistics series
[More in this series]
Bibliographic references
Includes bibliographical references and index.
ISBN
9781482208238 ((alk. paper))
1482208237 ((alk. paper))
LCCN
2016003221
OCLC
946076142
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Applied biclustering methods for big and high dimensional data using R / edited by Adetayo Kasim, Durham University United Kingdom; Ziv Shkedy, Hasselt University Diepenbeek, Belgium; Sebastian Kaiser, Ludwig Maximilian Universitet Munich, Germ
id
99125114578906421
Applied biclustering methods for big and high dimensional data using R / editors, Adeyto Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter and Willem Talloen.
id
99124015273506421