Comparative Study of K-Means Clustering Algorithm and K-Medoids Clustering in Student Data Clustering

Comparative Study of K-Means Clustering Algorithm and K-Medoids Clustering in Student Data Clustering

Universities as educational institutions have very large amounts of academic data which may not be used properly. The data needs to be analyzed to produce information that can map the distribution of students. Student academic data processing utilizes data mining processes using clustering techniqu...

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Bibliographic Details
Main Authors: Qomariyah, Maria Ulfah Siregar
Format: Article
Language:English
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2022-05-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Subjects:
Data Mining
Data Pre-Processing
Validation Test
Davies Bouldin Index
Optimal
Online Access:http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/3051

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