Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering

Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering

Anemia is a condition characterized by a decrease in the number of red blood cells or hemoglobin levels in the bloodstream. It can lead to fatigue and reduced productivity. Clustering is a technique in data mining used to identify patterns that can support decision-making processes. In the case of a...

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Bibliographic Details
Main Authors: Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan
Format: Article
Language:Indonesian
Published: Islamic University of Indragiri 2025-07-01
Series:Sistemasi: Jurnal Sistem Informasi
Subjects:
data mining
komputasi kuantum
clustering
k-medoid
jarak manhattan
jarak chebyshev
Online Access:https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5193
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