Detecting Learning Patterns in Tertiary Education Using K-Means Clustering

Detecting Learning Patterns in Tertiary Education Using K-Means Clustering

We are in the era where various processes need to be online. However, data from digital learning platforms are still underutilised in higher education, yet, they contain student learning patterns, whose awareness would contribute to educational development. Furthermore, the knowledge of student prog...

Full description

Bibliographic Details
Main Authors:	Emmanuel Tuyishimire, Wadzanai Mabuto, Paul Gatabazi, Sylvie Bayisingize
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Information
Subjects:	K-means performance pattern
Online Access:	https://www.mdpi.com/2078-2489/13/2/94

Similar Items

Analysis of Building Electricity Use Pattern Using K-Means Clustering Algorithm by Determination of Better Initial Centroids and Number of Clusters
by: Bishnu Nepal, et al.
Published: (2019-06-01)

Application of Data Mining Using Methods K-Means Clustering for Clustering Baby Goods Rental Patterns (Case Study: Baby Kha House Store)
by: Roja' Putri Cintani, et al.
Published: (2024-03-01)

Identification of Student Behavioral Patterns in Higher Education Using K-Means Clustering and Support Vector Machine
by: Nur Izzati Mohd Talib, et al.
Published: (2023-03-01)

Research on the Identification of Typical Terrain Patterns in Yunnan Province Based on the K-Means Technology
by: Fangrong Zhou, et al.
Published: (2024-02-01)

Profiling Academic Library Patrons using K-means and X-means Clustering
by: Aisyah Larasati, et al.
Published: (2019-12-01)

Metode Elbow dalam Optimasi Jumlah Cluster pada K-Means Clustering
by: Nadia Annisa Maori, et al.
Published: (2023-11-01)

Identifying daily water consumption patterns based on K-means Clustering, Agglomerative Hierarchical Clustering, and Spectral Clustering algorithms
by: Hongyuan Guo, et al.
Published: (2024-05-01)

Modulation Decoding Based on K-Means Algorithm for Bit-Patterned Media Recording
by: Seongkwon Jeong, et al.
Published: (2022-08-01)

Cluster Analysis with K-Mean versus K-Medoid in Financial Performance Evaluation
by: Emilia Herman, et al.
Published: (2022-08-01)

Unveiling Patterns and Colors in Architectural Paintings: An Analysis by K-Means++ Clustering and Color Ratio Analysis
by: Liang Zhang, et al.
Published: (2023-01-01)

RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm
by: Yumi Kondo, et al.
Published: (2016-08-01)

BIM performance assessment system using a K-means clustering algorithm
by: Hyeon-Seung Kim, et al.
Published: (2021-01-01)

Penggunaan Metode K-Means dan K-Means++ Sebagai Clustering Data Covid-19 di Pulau Jawa
by: Nursatio Nugroho, et al.
Published: (2022-10-01)

Clustering Balinese Language Documents using the Balinese Stemmer Method and Mini Batch K-Means with K-Means++
by: Made Agus Putra Subali, et al.
Published: (2023-12-01)

Analisa Perbandingan Citra Hasil Segmentasi Menggunakan Metode K-Means dan Fuzzy C Means pada Citra Input Terkompresi
by: I Wayan Angga Wijaya Kusuma, et al.
Published: (2021-11-01)

Clustering of Cities Based on Their Smart Performances: A Comparative Approach of Fuzzy C-Means, K-Means, and K-Medoids
by: Omer N. Kenger, et al.
Published: (2023-01-01)

K-Means Clustering with KNN and Mean Imputation on CPU Benchmark Compilation Data
by: Rofiq Muhammad Syauqi, et al.
Published: (2023-12-01)

Improving Scalable K-Means++
by: Joonas Hämäläinen, et al.
Published: (2020-12-01)

The k-means clustering technique: General considerations and implementation in Mathematica
by: Laurence Morissette, et al.
Published: (2013-02-01)

On Clustering Histograms with k-Means by Using Mixed α-Divergences
by: Frank Nielsen, et al.
Published: (2014-06-01)

K-Means Cloning: Adaptive Spherical K-Means Clustering
by: Abdel-Rahman Hedar, et al.
Published: (2018-10-01)

K-Means Algorithm Implementation for Project Health Clustering
by: Ajeng Arifa Chantika Rindu, et al.
Published: (2023-09-01)

Analisis Pengelompokan Peraturan Kementerian dengan Menggunakan K-Means Clustering
by: Resistania Anggita Putri, et al.
Published: (2020-05-01)

K-Means Clustering in Determining the Category of Stock Items In Angkasa Mart
by: Roki Hardianto, et al.
Published: (2022-06-01)

Application of K-Means Algorithm for Cluster Analysis on Poverty of Provinces in Indonesia
by: Albert V. Dian Sano, et al.
Published: (2016-06-01)

An adaptive K-Means Clustering Algorithm and its Application to Face Recognition
by: N. Rajeswari, et al.
Published: (2010-01-01)

Kernel Probabilistic K-Means Clustering
by: Bowen Liu, et al.
Published: (2021-03-01)

Unsupervised Multi-View K-Means Clustering Algorithm
by: Miin-Shen Yang, et al.
Published: (2023-01-01)

Perbandingan Algoritma K-Means dengan Fuzzy C-Means Untuk Clustering Tingkat Kedisiplinan Kinerja Karyawan
by: Nova Agustina, et al.
Published: (2018-12-01)

Identification of Tuberculosis Patient Characteristics Using K-Means Clustering
by: Betha Nur Sari
Published: (2016-11-01)

A Model for Robot Arm Pattern Identification using K-Means Clustering and Multi-Layer Perceptron
by: Anas Saifurrahman
Published: (2023-06-01)

Comparison Of K-Means and K-Medoids Algorithm for Clustering Data UMKM in Pagar Alam City
by: sendy ariska, et al.
Published: (2024-06-01)

An Efficient Algorithm for Initializing Centroids in K-means Clustering
by: Dr. Ahmed Hussain Aliwy, et al.
Published: (2016-12-01)

Analisis dan Perbandingan Kualitas Pengelompokan Dokumen (Document Clustering) Dengan Menggunakan Metode K-Means Dan K-Medians
by: Bustami Bustami
Published: (2015-12-01)

K-Means Clustering with Local Distance Privacy
by: Mengmeng Yang, et al.
Published: (2023-12-01)

CLUSTERING KABUPATEN BERDASARKAN LUAS HUTAN MENGGUNAKAN METODE K-MEANS DI PROVINSI JAWA TENGAH
by: Yusri Eli Hotman Turnip, et al.
Published: (2023-04-01)

Classification of Student Grade Data Using the K-Means Clustering Method
by: Lanjar Pamungkas, et al.
Published: (2024-02-01)

DROUGHT ASSESSMENT IN VOJVODINA (SERBIA) USING K-MEANS CLUSTER ANALYSIS
by: Igor Leščešen, et al.
Published: (2019-04-01)

DROUGHT ASSESSMENT IN VOJVODINA (SERBIA) USING K-MEANS CLUSTER ANALYSIS
by: Igor Leščešen, et al.
Published: (2019-04-01)

A Consistency Evaluation Method of Pavement Performance Based on K-Means Clustering and Cumulative Distribution
by: Wenya Ye, et al.
Published: (2022-12-01)