Now showing items 1-2 of 2

    • A Performance Neighborhood Distance (ndist) Between K -Means and SOM Algorithms 

      Haviluddin, Haviluddin; Gafar, Achmad Fanany Onnilita; Alfred, Rayner; Mislan, Mislan (Advanced Science Letters (ASL), 2018)
      Clustering is an important means of data mining based on separating data categories by similar features. This paper aims to compare the performance of neighborhood distance (ndist) between K-Means and Self-Organizing Maps ...
    • Comparison Between K-Means and Fuzzy C-Means Clustering in Network Traffic Activities 

      Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Gafar, Achmad Fanany Onnilita; Tahyudin, Imam (SpringerLink - Lecture Notes on Multidisciplinary Industrial Engineering (LNMUINEN), 2017)
      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 ...