K-Means Clustering with KNN and Mean Imputation on CPU Benchmark Compilation Data
In the rapidly evolving digital age, data is becoming a valuable source for decision-making and analysis. Clustering, as an important technique in data analysis, has a key role in organizing and understanding complex datasets. One of the effective clustering algorithms is k-means. However, this algo...
Main Authors: | Rofiq Muhammad Syauqi, Puspita Nurul Sabrina, Irma Santikarama |
---|---|
Format: | Article |
Language: | English |
Published: |
Politeknik Negeri Batam
2023-12-01
|
Series: | Journal of Applied Informatics and Computing |
Subjects: | |
Online Access: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/6491 |
Similar Items
-
Perbandingan Performa antara Imputasi Metode Konvensional dan Imputasi dengan Algoritma Mutual Nearest Neighbor
by: Azwar Rizal Alfarisi, et al.
Published: (2013-03-01) -
Metode Imputasi pada Data Debit Daerah Aliran Sungai Opak, Provinsi DI Yogyakarta
by: Fahmi Dhimas Irnawan, et al.
Published: (2021-11-01) -
Analisis Silhouette Coefficient pada 6 Perhitungan Jarak K-Means Clustering
by: Rahmatina Hidayati, et al.
Published: (2021-05-01) -
Pemetaan UMKM dalam Upaya Pengentasan Kemiskinan dan Penyerapan Tenaga Kerja Menggunakan Algoritma K-Means
by: Herwinda Kurniadewi, et al.
Published: (2022-08-01) -
Pemetaan Karakteristik Mahasiswa Penerima Kartu Indonesia Pintar Kuliah (KIP-K) menggunakan Algoritma K-Means++
by: Fitri Nuraeni, et al.
Published: (2023-01-01)