Visualizing tourist behaviour in Melaka using HDBSCAN and multiple linear regression

This research offers a visual solution for patternizing Melaka's tourist attractions based on Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) and Multiple Linear Regression (MLR). Conventional techniques for patternizing tourists' behavior, e.g., surveys,...

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Bibliographic Details

Main Authors:	Hamsah, Mohamad Halid Sazli, Mishan, Mohd Taufik
Format:	Article
Language:	en
Published:	College of Computing, Informatics, and Mathematics 2025
Subjects:	Travel and the state. Tourism Machine learning Data mining
Online Access:	https://ir.uitm.edu.my/id/eprint/127951/1/127951.pdf https://ir.uitm.edu.my/id/eprint/127951/ https://fskmjebat.uitm.edu.my/pcmj/
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