STUDENT CLUSTERING BASED ON ACADEMIC USING K-MEANS ALGORITMS
| Main Authors: | Leong, Hironimus; Faculty of Computer Science, Faculty of Computer Science Unika Soegijapranata, Wahyuningrum, Shinta Estri; Faculty of Computer Science, Faculty of Computer Science Unika Soegijapranata |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
PROXIES
, 2015
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| Subjects: | |
| Online Access: |
http://journal.unika.ac.id/index.php/pro/article/view/227 http://journal.unika.ac.id/index.php/pro/article/view/227/217 |
Daftar Isi:
- One goal of clustering data mining is to find a cluster of a particular data modeling. By modeling the data, it can provide more description of the data being analyzed and can be visualized in graphical form. One of the methods used in data mining to search for data modeling is to use K-means algorithm analysis. K-Means algorithm is used to find groupings of data with specific points, called the centroid. By grouping the data, then large amounts of data, grouped in a simpler visualization. The final results can be used as Decision Support System