Implementation of K-Means Clustering for Optimization of Student Grouping Based on Index of Learning Styles in Programming Classes
This study aims to group students into study groups (classes) based on learning styles utilising K-Means Clustering technique and Sum of Squared Error for cluster assessment. This study used type of learning style developed by Felder and Silverman, which includes four dimensions: (1) the learning p...
Main Authors: | Dwi Maryono, Cucuk Wawan Budiyanto, Allan Auri Pamungkas |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Sebelas Maret
2022-12-01
|
Series: | IJIE (Indonesian Journal of Informatics Education) |
Subjects: | |
Online Access: | https://jurnal.uns.ac.id/ijie/article/view/68151 |
Similar Items
-
Unsupervised K-Means Clustering Algorithm
by: Kristina P. Sinaga, et al.
Published: (2020-01-01) -
Classification of Student Grade Data Using the K-Means Clustering Method
by: Lanjar Pamungkas, et al.
Published: (2024-02-01) -
RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm
by: Yumi Kondo, et al.
Published: (2016-08-01) -
Metode Elbow dalam Optimasi Jumlah Cluster pada K-Means Clustering
by: Nadia Annisa Maori, et al.
Published: (2023-11-01) -
Soil data clustering by using K-means and fuzzy K-means algorithm
by: E. Hot, et al.
Published: (2016-06-01)