Browsing by Subject "K-means"

Now showing items 1-2 of 2

    • Customer segmentation using K-means 

      Mahdee, Nafis; Shourav, Ishrak Rahman; Tabassum, Tasneem; Nur, Eman; Md Amir, Hamza Howlader (Brac University, 2022-05)
      Sales Maximization is a critical aspect of operating any business. Our thesis aims to help businesses to probe deep into their market reach as we group customers us ing the customer segmentation approach. Our dataset is ...

    • LRFMV: an efficient customer segmentation model for superstores 

      Toyeb, Md.; Mahfuza, Rezwana; Islam, Nafisa; Emon, Md Asaduzzaman Faisal (Brac University, 2021-06)
      In superstore business, the recency, frequency, and monetary (RFM) based on cus tomers’ purchase results is preferred to categorize valuable customers in order to increase profit margins. This paper develops an enhanced ...