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Akademický článek

Comparison analysis of Euclidean and Gower distance measures on k-medoids cluster

Autor: Agil Aditya, Betha Nurina Sari, Tesa Nur Padilah

Publikováno v: Jurnal Teknologi dan Sistem Komputer, Vol 9, Iss 1, Pp 1-7 (2021)

K-medoids clustering uses distance measurement to find and classify data that have similarities and inequalities. The distance measurement method selection can affect the clustering performance for a dataset. Several studies use the Euclidean and Gow

Externí odkaz: https://doaj.org/article/6e30cca53b5048cfb369f6cca7b82a2a

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Comparison analysis of Euclidean and Gower distance measures on k-medoids cluster

Autor: Betha Nurina Sari, Tesa Nur Padilah, Agil Aditya

Publikováno v: Jurnal Teknologi dan Sistem Komputer, Vol 9, Iss 1, Pp 1-7 (2021)

Klastering k-medoids menggunakan metode jarak untuk mencari dan mengelompokkan data yang memiliki kesamaan dan ketidaksamaan. Penentuan metode pengukuran jarak adalah hal yang penting karena mempengaruhi performa hasil klaster k-medoids. Beberapa kaj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e86922c54a71bf29735c3ce965b14be
https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13747

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Development of Discovery Learning Based E-Module on Buffer Solution Topic for Class XI Senior High School (SMA/MA)

Autor: Rahadian Zainul, Agil Aditya Dinata

Publikováno v: Edukimia. 2:6-11

The purpose of this study is to produce a discovery learning based e-module on buffer solution topic for Class XI Senior High School (SMA/MA). The type of research used is Research and Development using 4-D models with 4 stages, namely: (1) define, (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f720352aafee424397504c77d903f04e
https://doi.org/10.24036/ekj.v2.i1.a108

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Implementasi K-Means Clustering Ujian Nasional Sekolah Menengah Pertama di Indonesia Tahun 2018/2019

Autor: Betha Nurina Sari, Agil Aditya, Ivan Jovian

Publikováno v: JURNAL MEDIA INFORMATIKA BUDIDARMA. 4:51

Clustering is an activity that aims to group a data that has a similarity between one data with another data. K-Means clustering is a non-hierarchical data clustering method that attempts to partition existing data into one or more clusters / groups.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ae9f63d35b63bb58332a497572537172
https://doi.org/10.30865/mib.v4i1.1784

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