Robust algorithms for principal component analysis
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this study, one of the alternative methods, robust principalcomponent analysis of algoritms has been considered.Then robust principal component analysis of algoritms has beenconsidered as a formal test for detecting outliers. Finally, a randomdata generation study was carried out using a statistical software andan application has been achieved for detecting outliers via robustprincipal component analysis of algoritms.Science Code : 205.1.066Key Words : Outliers, robust, robust principal componentsPage Number : 56Advisor : Yrd. Doç. Dr. Jale Balibeyoğlu
Author
Aysu Özen Yaycılı
How to Cite
Aysu Özen Yaycılı (Master Thesis). Robust algorithms for principal component analysis, 2006, Gazi University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Gazi University
- Occupational accident analysis and modelling in oil and gas drilling sector Turkey(2021)
- XVI. yüzyıl Anadolu'sunda Oğuzların Karkın Boyu(2004)
- Experimental development of the interfacial bond-slip model between textile reinforced mortar strips and masonry walls(2025)
- Sharing of real life geometry samples via a social learning environment: A case study(2021)
- Evaluatıon of calcium hydroxide removal efficiency of two different irrigation activation techniques from artificial internal resorption cavities prepared at different root levels(2021)
- The use of verbal memory in the context of sustainability and power at the museums of Turk(2010)
