This research explores the potential Machine Learning algorithms have on the urban design, analysis and decision-making processes of a particular sector in Dubai. Backpropagation and K-mean clustering algorithms were utilized to map the different hotspots in the city of Dubai, based on different data dimensions taken from online user reviews dataset. The goal was to cluster similar places together and then create a set of urban furniture that would fit contextually in each of the respective site.
This research was supervised by Mateusz Zwierzycki, Zayad Motlib and Marta Krishoveek.
Participants: Hayder Mahdi, Marta Krishoveek, Tang Le Qun and Khaleefa Al-Hemli.