Gunung Djati Conference Series
Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020

Premier League 2020 Player Data Clustering with the DBSCAN Algorithm

Muhammad Thariq Sabiq Bilhaq (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Aisyah Amini Nur (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Akbar Hidayatullah Harahap (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Ihsan Muttaqin Bin Abdul Malik (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Muhammad Irfan Nur Imam (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Muhammad Nur Sidiq (Teknik Informatika, UIN Sunan Gunung Djati Bandung)



Article Info

Publish Date
13 Feb 2021

Abstract

Premiere League is prestigious event that is in demand by many people. And player goals are very important in this regard. Research on the number of players based on this age can be done. One of which is by clustering. Clustering is a method for grouping objects according to their similarities. And the algorithm used DBSCAN. This algorithm can solve complex problems and has the right density so that it can help to get clustering data on this theme.

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