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UEU » Journal » Teknik Informatika
Posted by [email protected] at 27/06/2024 12:53:05  •  220 Views


PERBANDINGAN MANHATTAN DAN EUCLIDEAN DISTANCE UNTUK PENGELOMPOKAN PENYAKIT JANTUNG MENGGUNAKAN ALGORITMA K-MEANS

Created by :
Nicholas Febrian ( 20190801126 )
Noviandi (0318018202)



SubjectALGORITMA
K-MEANS
LAYANAN KESEHATAN
Alt. Subject ALGORITHM
K-MEANS
HEALTH SERVICES
KeywordK-means clustering
Jarak Euclidean
Jarak Manhattan
Sillhouette coefficient
Date Create:27/06/2024
Type:Text
Format:pdf
Language:Indonesian
Identifier:UEU-Journal-11_4996
Collection ID:11_4996


Source :
ICIT Journal, Vol. 10, Issue 1, February 2024, pp: 61-70

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Unversitas Esa Unggul

Rights :
@2024 Perpustakaan Universitas Esa Unggul


Publication URL :
https://digilib.esaunggul.ac.id/perbandingan-manhattan-dan-euclidean-distance-untuk-pengelompokan-penyakit-jantung-menggunakan-algoritma-kmeans-34238.html




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[ Link of Contents]
  1. ICIT Journal
    https://ejournal.raharja.ac.id/index.php/icit/article/view/2860/1781

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Euclidean , Jarak , Jarak Euclidean , Jarak Manhattan , K-means , K-means clustering , Manhattan , Sillhouette , Sillhouette coefficient , clustering , coefficient



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