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The application of K‐means clustering for province clustering in Indonesia of the risk of the COVID‐19 pandemic based on COVID‐19 data

Tersimpan di:
Main Authors: Dahlan, Abdullah, S., Susilo, Ansari Saleh, Ahmar, Rusli, Rusli, Rahmat, Hidayat
Format: Article PeerReviewed Book
Bahasa: eng
Terbitan: , 2021
Subjects:
FMIPA
Online Access: http://eprints.unm.ac.id/24511/1/Abdullah2021_Article_TheApplicationOfK-meansCluster.pdf
http://eprints.unm.ac.id/24511/2/Peer%20Review%20K-Means%20QQ.pdf
http://eprints.unm.ac.id/24511/5/7%20QUQU-D-21-00117.pdf
http://eprints.unm.ac.id/24511/6/Turnitin%20The%20Application%20of%20K-means%20Clustering%20to%20the%20Zoning%20of%20Provinces%20in%20Indonesia.pdf
http://eprints.unm.ac.id/24511/
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Internet

http://eprints.unm.ac.id/24511/1/Abdullah2021_Article_TheApplicationOfK-meansCluster.pdf
http://eprints.unm.ac.id/24511/2/Peer%20Review%20K-Means%20QQ.pdf
http://eprints.unm.ac.id/24511/5/7%20QUQU-D-21-00117.pdf
http://eprints.unm.ac.id/24511/6/Turnitin%20The%20Application%20of%20K-means%20Clustering%20to%20the%20Zoning%20of%20Provinces%20in%20Indonesia.pdf
http://eprints.unm.ac.id/24511/

Lokasi

Koleksi Eprints Universitas Negeri Makassar
Gedung Perpustakaan Universitas Negeri Makassar
Institusi Universitas Negeri Makassar
Kota KOTA MAKASSAR
Provinsi SULAWESI SELATAN
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