Jurnal INSYPRO (Information System and Processing)
Vol 8 No 1 (2023)

ANALISIS KLASTER BERBASIS KEPADATAN DENGAN DBSCAN DAN OPTICS: ANALISIS KLASTER BERBASIS KEPADATAN DENGAN DBSCAN DAN OPTICS

Mustikasari Mustikasari (Unknown)
Nur Salman (Universitas Islam Negeri Makassar)

Article Info

Publish Date
27 Feb 2023

Abstract

This paper describes the process of cluster analysis on the DBSCAN density-based clustering algorithm and the OPTICS augmentation algorithm implemented in R.. Compared to other implementations, DBSCAN offers an implementation that can leverage advanced data such as k-d trees to speed up calculations. An important advantage of this implementation is the ability of both algorithms to handle data, especially granular data with various forms, which conventional distance-based separation algorithms often cannot handle because of the difficulty of identifying the center of a data cluster. A simple comparison is shown to give insight into the advantages of this density-based method. Experiments with the implementation of DBSCAN and OPTICS compared to other popular algorithms show that DBSCAN implemented in R provides a fast, strong, and efficient solution.

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Journal Info
Jurnal INSYPRO (Information System and Processing)
Website

Abbrev

insypro

Publisher

Universitas Islam Negeri Alauddin Makassar

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

Jurnal Insypro adalah jurnal yang bergerak di bidang Sistem Informasi, hadir untuk diharapkan mampu mengembangkan riset pada bidang sistem informasi di Indonesia dan dunia internasional secara ...