Comparison of K-Means Clustering & Logistic Regression on University
data to differentiate between Public and Private University

Dublin Core

Title

Comparison of K-Means Clustering & Logistic Regression on University
data to differentiate between Public and Private University

Subject

K-Means, Regression, Clustering

Description

The development of advances in educational methods has developed in the last few decades. especially at the higher education
level such as college. The rising interest of students in pursuing their higher education has caused the sector to be split into two
sectors, both private and public universities. This difference raises several questions recently about how the two types differ in
carrying out the educational process. whether there is a difference in terms of cost, service or quality, we really can't tell exactly.
For this study, we will try to use the K-Means Clustering & Logistic Regression to group the University into two groups, Private
and Public and then compare the two model accuracy. The results of this study show that the results obtained from the K-Means
clustering model (22%) are much lower than the Logistic Regression model (91%).

Creator

Adhien Kenya Anima Estetikha 1,* , Deden Hardan Gutama 2 , Musthofa Galih Pradana 3 , Dhina Puspasari Wijaya

Date

2021

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLIST

Type

TEXT

Files

Citation

Adhien Kenya Anima Estetikha 1,* , Deden Hardan Gutama 2 , Musthofa Galih Pradana 3 , Dhina Puspasari Wijaya, “Comparison of K-Means Clustering & Logistic Regression on University
data to differentiate between Public and Private University,” Repository Horizon University Indonesia, accessed June 7, 2025, https://repository.horizon.ac.id/items/show/9240.