PCA-counseled k-means and k-medoids with dimension reduction for improved in determining optimal aid clustering

PCA-counseled k-means and k-medoids with dimension reduction for improved in determining optimal aid clustering

Assuring effective allocation requires targeted distribution of aid, which makes aid clustering a crucial component. For the purpose of using data-driven segmentation based on important characteristics to determine effective help targeting, accuracy in clustering is essential. The study explores th...

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Bibliographic Details
Main Authors: Achmad Jauhari, Ika Oktavia Suzanti, Devie Rosa Anamisa, Fadhila Tangguh Admojo
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2025-07-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
Aid data
Clustering
K-Means
K-Medoids
Principal Component Analysis
Online Access:http://www.kursorjournal.org/index.php/kursor/article/view/460
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