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Patrons	No. of Books Issued	Loan Period	Overdue Charges
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Model-based clustering and classification for data science : (Record no. 83222)

MARC details
000 -LEADER
fixed length control field	02635cam a22003858i 4500
001 - CONTROL NUMBER
control field	20904701
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20221028230621.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	190326s2019 enk b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number	2019014257
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9781108494205
040 ## - CATALOGING SOURCE
Original cataloging agency	DLC
Language of cataloging	eng
Description conventions	rda
Transcribing agency	DLC
Modifying agency	DLC
042 ## - AUTHENTICATION CODE
Authentication code	pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number	QA278.55
Item number	.M63 2019
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	519.53 BOU-C
Edition number	23
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name	Bouveyron, Charles
245 00 - TITLE STATEMENT
Title	Model-based clustering and classification for data science :
Remainder of title	with applications in R /
Statement of responsibility, etc.	Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc.	New York
Name of publisher, distributor, etc.	Cambridge University Press
Date of publication, distribution, etc.	2019
263 ## - PROJECTED PUBLICATION DATE
Projected publication date	1904
300 ## - PHYSICAL DESCRIPTION
Extent	427 p.
365 ## - TRADE PRICE
Price type code	GBP
Price amount	59.99.
490 0# - SERIES STATEMENT
Series statement	Cambridge series in statistical and probabilistic mathematics
500 ## - GENERAL NOTE
General note	Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc	Includes bibliographical references and index.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Cluster analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Statistics
General subdivision	Classification.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	R (Computer program language)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Bouveyron, Charles,
Dates associated with a name	1979-
Relator term	author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Celeux, Gilles,
Relator term	author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Murphy, T. Brendan,
Dates associated with a name	1972-
Relator term	author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Raftery, Adrian E.,
Relator term	author.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a	7
b	rip
c	orignew
d	1
e	ecip
f	20
g	y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Dewey Decimal Classification
955 ## - COPY-LEVEL INFORMATION (RLIN)
Book number/undivided call number, CCAL (RLIN)	rl03 2019-03-26
Copy status, CST (RLIN)	rl03 2019-03-26 to Dewey
Circulation control number, HNT (RLIN)	rk09 2019-04-22 ECIP rush change request to CIP
Classification number, CCAL (RLIN)	rl03 2019-04-29, title change; publisher request
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status

Holdings
Lost status	Source of classification or shelving scheme	Damaged status	Not for loan	Collection code	Home library	Current library	Shelving location	Date acquired	Total Checkouts	Total Renewals	Full call number	Barcode	Checked out	Date last seen	Date last checked out	Price effective from	Koha item type	Public note
	Dewey Decimal Classification			510	BITS Pilani Hyderabad	BITS Pilani Hyderabad	General Stack (For lending)	28/10/2022	1	5	519.53 BOU-C	46473	27/10/2025	29/10/2022	29/10/2022	28/10/2022	Books	Project Book : Dr. Sayan Ghosh.