Customer segmentation using K-means
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
Autores principales: | Mahdee, Nafis, Shourav, Ishrak Rahman, Tabassum, Tasneem, Nur, Eman, Md Amir, Hamza Howlader |
---|---|
Otros Autores: | Rasel, Annajiat Alim |
Formato: | Tesis |
Lenguaje: | en_US |
Publicado: |
Brac University
2022
|
Materias: | |
Acceso en línea: | http://hdl.handle.net/10361/17617 |
Ejemplares similares
-
LRFMV: an efficient customer segmentation model for superstores
por: Toyeb, Md., et al.
Publicado: (2021) -
LRFS: online shoppers’ behavior based efficient customer segmentation model
por: Khan, Riyo Hayat
Publicado: (2023) -
LRFMVD : a customer segmentation model
por: Sagor, Kawsar Mahmud, et al.
Publicado: (2023) -
Unsupervised semantic segmentation for localization of wetland area fluctuations
por: Tahsin, Anika, et al.
Publicado: (2024) -
Exploring deep features: deeper fully convolutional neural network for image segmentation
por: Kamran, Sharif Amit, et al.
Publicado: (2017)