Clustering OKU Timur Script Images using VGG Feature extraction and K-Means
This study focuses on the utilization of clustering models to group manuscript images from the OKU Timur region based on specific characteristics. OKU Timur is rich in cultural heritage, including a unique writing system known as the OKU Timur script. The development of intelligent systems technolog...
Saved in:
Main Authors: | Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri |
---|---|
Format: | Article |
Language: | English |
Published: |
LPPM ISB Atma Luhur
2024-12-01
|
Series: | Jurnal Sisfokom |
Subjects: | |
Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2292 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of VGG-16 Accuracy for Fingerprint Pattern Imager Classification
by: Agus Andreansyah, et al.
Published: (2025-01-01) -
Presenting a Leadership Empowerment Model through Sense-making by Using the Cognitive and Behavioral Scripts
by: Hamid Zare, et al.
Published: (2024-06-01) -
Penerapan Metode K-Means Clustering dan Simple Moving Average untuk Memprediksi Jenis Penyakit di Provinsi Jawa Timur
by: Shynta Ayu Dwi Darmawan, et al.
Published: (2024-08-01) -
A brief history of formation of the kalmyk collection in the oriental section of the saint petersburg university scientific library
by: Vladimir L. Uspensky
Published: (2024-05-01) -
Aleksandr Bogdanov and Sergei Eisenstein on Emotions: The Affectional, the Theory of Expressiveness, and the Emotional Script
by: Bugaeva Lyubov
Published: (2021-12-01)