A Comparative Study of K-Means, Gaussian Mixture Model, and Spectral Clustering for Facial Emotion Recognition
Facial emotion recognition is one of the key areas of artificial intelligence that has been widely applied in human–computer interaction. This study compares three clustering algorithms—K-Means, Gaussian Mixture Model (GMM), and Spectral Clustering—to group facial expressions from the FER-2013 datas...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Indonésio |
| Опубліковано: |
Islamic University of Indragiri
2025-11-01
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| Серія: | Sistemasi: Jurnal Sistem Informasi |
| Предмети: | |
| Онлайн доступ: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5668 |
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