Applied biclustering methods for big and high dimensional data using R

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Bibliographic Details
Other Authors:	Kasim, Adeyto (Editor)
Format:	Book
Published:	Boca Raton Taylor & Francis, CRC Press 2017
Subjects:	Big data Cluster set theory R (Computer program language)
Online Access:	Click Here to View Status and Holdings.
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020	#	#	\|a 9781482208238 \|q hardback
040	#	#	\|a DLC \|d UiTM \|e rda
090	0	0	\|a QA76.9.B45 \|b A67 2017
245	0	0	\|a Applied biclustering methods for big and high dimensional data using R \|c editors, Adeyto Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter and Willem Talloen
246	3	#	\|a 1607
264	#	1	\|a Boca Raton \|b Taylor & Francis, CRC Press \|c 2017
264	#	4	\|c ©2017
300	#	#	\|a xxv, 401 pages \|b color illustrations \|c 26 cm.
336	#	#	\|a text \|2 rdacontent
337	#	#	\|a unmediated \|2 rdamedia
338	#	#	\|a volume \|2 rdacarrier
504	#	#	\|a Includes bibliographical references and index
650	#	0	\|a Big data
650	#	0	\|a Cluster set theory
650	#	0	\|a R (Computer program language)
700	1	#	\|a Kasim, Adeyto \|e editor
856	4	0	\|z Click Here to View Status and Holdings. \|u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=913746
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