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Comparison Between K-Means and Fuzzy C-Means Clustering in Network Traffic Activities

  • Purnawansyah
  • HaviluddinEmail author
  • Achmad Fanany Onnilita Gafar
  • Imam Tahyudin
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)

Abstract

A network traffic utilization in order to support teaching and learning activities are an essential part. Therefore, the network traffic management usage is requirements. In this study, analysis and clustering network traffic usage by using K-Means and Fuzzy C-Means (FCM) methods have been implemented. Then, both of method were used Euclidean Distance (ED) in order to get better results clusters. The results showed that the FCM method has been able to perform clustering in network traffic.

Keywords

Network traffic K-Means Fuzzy C-Means Clustering 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Purnawansyah
    • 1
  • Haviluddin
    • 2
    Email author
  • Achmad Fanany Onnilita Gafar
    • 3
  • Imam Tahyudin
    • 4
  1. 1.Faculty of Computer ScienceUniversitas Muslim IndonesiaMakassarIndonesia
  2. 2.Faculty of Computer Science and Information TechnologyMulawarman UniversitySamarindaIndonesia
  3. 3.State Polytechnic of SamarindaSamarindaIndonesia
  4. 4.Information System DepartmentSTMIK AMIKOMPurwokertoIndonesia

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