Penentuan Cluster Optimum pada Tingkat Pengangguran dan Tingkat Kemiskinan di Jawa Timur Menggunakan Algoritma Fuzzy C-Means

Penentuan Cluster Optimum pada Tingkat Pengangguran dan Tingkat Kemiskinan di Jawa Timur Menggunakan Algoritma Fuzzy C-Means

There are many methods used in resolving data clustering. One of them is the Fuzzy C-Means (FCM) method, which is a reliable method to solve clustering problems in the East Java region. This study aims to determine the optimum cluster in the East Java region which can help the government to identify...

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Bibliographic Details
Main Authors: Ari Eko Wardoyo, Nigati Tripuspita
Format: Article
Language:Indonesian
Published: Puslitbang Sinergis Asa Professional 2020-09-01
Series:BIOS
Subjects:
clustering analysis
optimization
fuzzy c-means
unemployment data
poverty data
Online Access:https://bios.sinergis.org/index.php/bios/article/view/10

Internet

https://bios.sinergis.org/index.php/bios/article/view/10

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