A mathematical programming approach for selection of variables in cluster analysis / Safia Mahmoud Ezzat Mohallal ; Supervised Nadia M. Girgis , Mohamed S. A. Osman , Mahmoud M. Rashwan
Material type:
TextLanguage: English Publication details: Cairo : Safia Mahmoud Ezzat Mohallal , 2011Description: 82 P. ; 25cmOther title: - استخدام البرمجة الرياضية فى اختيار المتغيرات فى التحليل العنقودى [Added title page title]
- Issued also as CD
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.01.M.Sc.2011.Sa.M (Browse shelf(Opens below)) | Not for loan | 01010110055485000 | ||
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.01.M.Sc.2011.Sa.M (Browse shelf(Opens below)) | 55485.CD | Not for loan | 01020110055485000 |
Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics
Data clustering is a common technique for statistical data amnalysis it is defined as a class of statistical techniques for classifing a set of observations into completely different groups . Cluster analysis seeks to minimize group variance and maximize between group variance . In this study we formulate a mathematical programming model that chooses the most important variables in cluster analysis
Issued also as CD
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