Cluster Analysis /

"This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application o...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Everitt, Brian
Συγγραφή απο Οργανισμό/Αρχή: Wiley InterScience (Online service)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken : Wiley, 2011.
Έκδοση:5th ed.
Σειρά:Wiley series in probability and statistics.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03777nam a2200721 4500
001 ocn701308680
003 OCoLC
005 20170124071201.9
006 m o d
007 cr cn|||||||||
008 110210s2011 njua ob 001 0 eng d
040 |a DG1  |b eng  |e pn  |c DG1  |d YDXCP  |d DG1  |d E7B  |d OCLCQ  |d REDDC  |d OCLCQ  |d DEBSZ  |d OCLCO  |d OCLCQ  |d OCLCA  |d NLGGC  |d MHW  |d EBLCP  |d OCLCQ  |d OCLCF  |d OCLCQ  |d DEBBG  |d GrThAP 
019 |a 704517693  |a 747089017  |a 839375830 
020 |a 9780470977811  |q (electronic bk.) 
020 |a 0470977817  |q (electronic bk.) 
020 |a 9780470977804  |q (e-book) 
020 |a 0470977809  |q (e-book) 
020 |a 0470978449 
020 |a 9780470978443 
020 |a 0470749911 
020 |a 9780470749913 
020 |z 9780470749913  |q (hardback) 
020 |z 9780470978443 
024 7 |a 10.1002/9780470977811  |2 doi 
029 1 |a AU@  |b 000046901220 
029 1 |a AU@  |b 000048842507 
029 1 |a CHNEW  |b 000720490 
029 1 |a DEBSZ  |b 372878482 
029 1 |a NLGGC  |b 356479846 
029 1 |a NZ1  |b 13786876 
029 1 |a NZ1  |b 15351070 
029 1 |a DEBBG  |b BV043392736 
035 |a (OCoLC)701308680  |z (OCoLC)704517693  |z (OCoLC)747089017  |z (OCoLC)839375830 
037 |a 10.1002/9780470977811  |b Wiley InterScience  |n http://www3.interscience.wiley.com 
050 4 |a QA278  |b .E9 2011 
082 0 4 |a 519.5/3  |2 22 
084 |a 31.73  |2 bcl 
049 |a MAIN 
100 1 |a Everitt, Brian. 
245 1 0 |a Cluster Analysis /  |c Brian S. Everitt. 
250 |a 5th ed. 
264 1 |a Hoboken :  |b Wiley,  |c 2011. 
300 |a 1 online resource (xii, 330 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Wiley series in probability and statistics 
505 0 |a Front Matter -- An Introduction to Classification and Clustering -- Detecting Clusters Graphically -- Measurement of Proximity -- Hierarchical Clustering -- Optimization Clustering Techniques -- Finite Mixture Densities as Models for Cluster Analysis -- Model-Based Cluster Analysis for Structured Data -- Miscellaneous Clustering Methods -- Some Final Comments and Guidelines -- Bibliography -- Index. 
520 |a "This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."--  |c Provided by publisher. 
520 |a "This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics"--  |c Provided by publisher. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
650 0 |a Cluster analysis. 
650 4 |a MATHEMATICS  |x Multivariate Analysis. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Multivariate Analysis.  |2 bisacsh 
650 7 |a Cluster analysis.  |2 fast  |0 (OCoLC)fst00864976 
650 1 7 |a Clusteranalyse.  |2 gtt 
655 4 |a Electronic books. 
710 2 |a Wiley InterScience (Online service) 
776 0 8 |i Print version:  |a Everitt, Brian.  |t Cluster Analysis.  |b 5th ed.  |d Hoboken : Wiley, 2011  |z 9780470749913  |w (DLC) 2010037932  |w (OCoLC)666867900 
830 0 |a Wiley series in probability and statistics. 
856 4 0 |u https://doi.org/10.1002/9780470977811  |z Full Text via HEAL-Link 
994 |a 92  |b DG1