|
|
|
|
LEADER |
01320nmm a2200289 u 4500 |
001 |
EB001998351 |
003 |
EBX01000000000000001161252 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
210827 ||| eng |
020 |
|
|
|a 9780470316801
|
050 |
|
4 |
|a QA278
|
100 |
1 |
|
|a Kaufman, Leonard
|
245 |
0 |
0 |
|a Finding groups in data
|h Elektronische Ressource
|b an introduction to cluster analysis
|c Leonard Kaufman, Peter J. Rousseeuw
|
250 |
|
|
|a First Edition
|
260 |
|
|
|a Hoboken, NJ
|b John Wiley & Sons
|c 2005
|
300 |
|
|
|a xiv, 342 pages
|
653 |
|
|
|a Cluster-Analyse
|
700 |
1 |
|
|a Rousseeuw, Peter J.
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b WILOB
|a Wiley Online Books
|
028 |
5 |
0 |
|a 10.1002/9780470316801
|
776 |
|
|
|z 9780471878766
|
856 |
4 |
0 |
|u https://doi.org/10.1002/9780470316801
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 519.53
|
650 |
|
4 |
|a Cluster analysis
|
520 |
|
|
|a An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering.
|