Browsing by Subject "K-Means"

Now showing items 1-2 of 2

    • Comparison of K-Means and DBSCAN Algorithms for Customer Segmentation in E-commerce 

      Paramita, Adi Suryaputra; Hariguna, Taqwa (Bright Publisher, 2024)
      Customer segmentation is crucial for e-commerce businesses to effectively target and engage specific customer groups. This study compares the effectiveness of two popular clustering algorithms, K-Means and DBSCAN, in ...

    • Improving Publishing: Extracting Keywords and Clustering Topics 

      Soekamto, Yosua Setyawan; Maryati, Indra; Christian; Kurniawan, Edwin (Bright Publisher, 2024)
      Humans, by nature, are inclined to share knowledge across various platforms, such as educational institutions, media outlets, and specialized research publications like journals and conferences. The consistent oversight ...