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 |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Book |