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210827 ||| eng |
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|a 9780470316801
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| 050 |
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4 |
|a QA278
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| 100 |
1 |
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|a Kaufman, Leonard
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| 245 |
0 |
0 |
|a Finding groups in data
|h Elektronische Ressource
|b an introduction to cluster analysis
|c Leonard Kaufman, Peter J. Rousseeuw
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| 250 |
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|a First Edition
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| 260 |
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|a Hoboken, NJ
|b John Wiley & Sons
|c 2005
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| 300 |
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|a xiv, 342 pages
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| 653 |
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|a Cluster-Analyse
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| 700 |
1 |
|
|a Rousseeuw, Peter J.
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b WILOB
|a Wiley Online Books
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| 028 |
5 |
0 |
|a 10.1002/9780470316801
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| 776 |
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|z 9780471878766
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| 856 |
4 |
0 |
|u https://doi.org/10.1002/9780470316801
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 519.53
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| 650 |
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4 |
|a Cluster analysis
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| 520 |
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|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.
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