Faculty of Engineering Students' Success Analysis with Clustering Methods
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Dosyalar
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, data clustering analysis for the student of faculty of engineering carried out. Cluster analysis, using the different characteristics or similar properties of objects in the data set, aims at creating in the same cluster homogeneous and between different clusters heterogeneous groups. This is the process of analyzing students' demographic data, and settlement in University Entrance Exam scores success percentages weighted grade point average information gained will be used. In addition, examining the general characteristics of the clusters formed and the regions and school types of the students have interpreted. Hard and fuzzy clustering algorithms are used in study and their performances are compared. Outlier detection was performed for the clusters with Box-Plot analysis which used as a tool to measure the success of the methods in the study.
Açıklama
21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS
Anahtar Kelimeler
Clustering Analysis, Fuzzy C-Means, K-Means, Student Datas
Kaynak
2013 21st Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
