Perbandingan Akurasi Euclidean Distance, Minkowski Distance, dan Manhattan Distance pada Algoritma K-Means Clustering berbasis Chi-Square
In data mining, there are several algorithms that are often used in grouping data, including K-Means. However, this method still has several disadvantages, including the problem of the level of accuracy of the methods used to measure the similarities between the objects being compared. To overcome t...
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| Format: | Article |
| Language: | English |
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Politeknik Harapan Bersama Tegal
2019-01-01
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| Series: | Jurnal Informatika: Jurnal Pengembangan IT |
| Online Access: | http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/1253 |