Taylor's Library

Model-based clustering and classification for data science : (Record no. 187993)

000 -LEADER
fixed length control field 02877nam a2200433#i 4500
001 - CONTROL NUMBER
control field 991016497202101
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211220055619.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190123s2019||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108644181
Qualifying information ebk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781108494205 (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781108494205
035 ## - SYSTEM CONTROL NUMBER
System control number (UkCbUP)CR9781108644181
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
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
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bouveyron, Charles,
Dates associated with a name 1979-
Relator term author.
245 10 - 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.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xvii, 427 pages) :
Other physical details digital, PDF file(s).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Cambridge series in statistical and probabilistic mathematics ;
Volume/sequential designation 50
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 19 Jun 2019).
520 ## - SUMMARY, ETC.
Summary, etc. 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
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cluster analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics
General subdivision Classification.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Computer program language)
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books
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.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781108494205
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Cambridge series on statistical and probabilistic mathematics;
Volume/sequential designation 50.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1017/9781108644181">https://doi.org/10.1017/9781108644181</a>
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Cost, normal purchase price Date last seen Price effective from
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