K-Medoid Algorithm in Clustering Student Scholarship Applicants

K-Medoid Algorithm in Clustering Student Scholarship Applicants

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>Data Grouping scholarship applicants Bantuan Belajar Mahasiswa (BBM) grouped into 3 categories entitled of...

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Bibliographic Details
Main Authors: Sofi Defiyanti, Mohamad Jajuli, Nurul Rohmawati
Format: Article
Language:English
Published: Jurusan Ilmu Komputer Universitas Negeri Semarang 2017-05-01
Series:Scientific Journal of Informatics
Subjects:
Scholarships, Clustering, Data Mining, K-Medoids, Purity Measure
Online Access:https://journal.unnes.ac.id/nju/index.php/sji/article/view/8212

Internet

https://journal.unnes.ac.id/nju/index.php/sji/article/view/8212

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