SKOLKOVO School of Management

Analysis of multivariate and high-dimensional data / (Record no. 3680)

000 -LEADER
fixed length control field 02796cam a2200301 i 4500
001 - CONTROL NUMBER
control field 17745256
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200213100853.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130520s2014 enk b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2013013351
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521887939 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA278
Item number .K5935 2014
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5/35
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Koch, Inge,
Dates associated with a name 1952-
245 10 - TITLE STATEMENT
Title Analysis of multivariate and high-dimensional data /
Statement of responsibility, etc Inge Koch, University of Adelaide, Australia.
300 ## - PHYSICAL DESCRIPTION
Extent xxv, 504 pages ;
Dimensions 27 cm.
490 0# - SERIES STATEMENT
Series statement Cambridge series in statistical and probabilistic mathematics
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 483-492) and indexes.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: Part I. Classical Methods: 1. Multidimensional data; 2. Principal component analysis; 3. Canonical correlation analysis; 4. Discriminant analysis; Part II. Factors and Groupings: 5. Norms, proximities, features, and dualities; 6. Cluster analysis; 7. Factor analysis; 8. Multidimensional scaling; Part III. Non-Gaussian Analysis: 9. Towards non-Gaussianity; 10. Independent component analysis; 11. Projection pursuit; 12. Kernel and more independent component methods; 13. Feature selection and principal component analysis revisited; Index.
520 ## - SUMMARY, ETC.
Summary, etc "'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text integrates the two strands into a coherent treatment, drawing together theory, data, computation and recent research. The theoretical framework includes formal definitions, theorems and proofs, which clearly set out the guaranteed 'safe operating zone' for the methods and allow users to assess whether data is in or near the zone. Extensive examples showcase the strengths and limitations of different methods in a range of cases: small classical data; data from medicine, biology, marketing and finance; high-dimensional data from bioinformatics; functional data from proteomics; and simulated data. High-dimension, low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code and problem sets complete the package. The text is suitable for graduate students in statistics and researchers in data-rich disciplines"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Multivariate analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-text here
Uniform Resource Identifier https://www.cambridge.org/core/books/analysis-of-multivariate-and-highdimensional-data/2BF8DE949E18E3A68001976784087816
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Date checked out Price effective from Koha item type
          Skoltech library Skoltech library Shelves 2017-09-15 1 QA278 .K5935 2014 2000006388 2023-09-20 2023-09-13 2017-09-15 Book